argumentative essay on virtual reality

109 Virtual Reality Topics & Essay Examples

When writing a virtual reality essay, it is hard to find just one area to focus on. Our experts have outlined 104 titles for you to choose from.

🏆 Best Virtual Reality Topics & Essay Examples

🕶️ good virtual reality research topics, 🤖 interesting virtual reality research paper topics, ❓ research questions about virtual reality.

Humanity has made amazing leaps in technology over the past several years. We have reached frontiers previously thought impossible, like the recreation of virtual environments using computers. These three-dimensional worlds can be accessed and explored by people. This is made possible with VR headsets, such as Oculus Rift or HTC Vive. If you’re eager to find out more, peek at our collection of VR research topics below!

Virtual Reality Versus Augmented Reality In fact, this amounts to one of the merits of a virtual reality environment. A case example of this type of virtual reality is the Virtual Reality games.
Virtual Reality Technology The third negative impact of virtual reality is that it causes human beings to start living in the world of fantasy.
Virtual Reality Tourism Technology In the world of virtual tourism, we can be transported to any country and have the ability to interact and manipulate the elements within the world we are touring in a way that would not […]
Virtual Reality’s Main Benefits The rapid development and the growing popularity of virtual reality raise a logical interest concerning the advantages and disadvantages that are related to the application of this new technology in various spheres of knowledge and […]
Virtual Reality’s Benefits and Usages in Concurrent Engineering Figure 1: Phases of concurrent engineering Source As shown in the figure above, the initial stage of concurrent engineering is the identification of the components of the design system.
Char Davies’ Osmose as Virtual Reality Environment On the following position, the installment suggests the invitees a chance to trail the discrete interactor’s voyage of imageries from end to end of this counterpart of natural surroundings.
A Growth Trajectory of the Virtual Reality Drilling Rig Training During the final three months of development, the VR training program will be refined and tested for usability and effectiveness. Collecting feedback from users is essential for the success of the VR drilling rig training […]
“The Role of Virtual Reality in Criminal Justice Pedagogy” by Smith The journal is titled “The role of virtual reality in criminal justice pedagogy: An examination of mental illness occurring in corrections”.
Virtual Reality and Cybersecurity As a result, it is the mandate of the framework entities to establish solutions to the inherent barriers to the implementation of the business plan.
A Stand-Up Comedy Virtual Reality Platform for Qatar Tourism Choosing the right number of avatars, customization of the product, and pricing the product were the three major challenges that were faced in this project. The second challenge that emerged in the development stage was […]
Entrepreneurial Opportunities in Virtual Reality In terms of the practical context, the research will focus on the organizations and sectors which are the primary beneficiaries of virtual reality and remote work during the pandemic.
Virtual Reality Space Product Project Challenges During the project, several challenges came up, which included providing leadership to the team, identifying the customer segment for the product, and understanding the “pains” of the customer segment.
Reflection on Aspects of Virtual Reality Videos For instance, the video Wolves in the Walls has good graphics and gives the independence to look at every section of the set-up separately.
Augmented and Virtual Reality for Modern Firms The business environment is not an exception, as firms seek to maximize their value through the implementation of high-tech solutions. AR is another major component of contemporary professional training, as it contributes to the better […]
The Rules of the Virtual Reality Online environment has been providing the platform for casual interactions as well as economic activities for quite a while.
How Virtual Reality Is Changing the World of Interior Design In order to become competitive in the sphere of luxury interior design, “More” must make its projects look modern and trendy.
Rusnak’s “The Thirteenth Floor” and The Concept of Virtual Reality In such consideration, this paper conducts a comparative analysis of The Thirteenth Floor and how the concept of virtual reality was developed and is applied in today’s films.
Top Companies in the Virtual Reality Industry Currently, Google is the leading search engine company, and there are signs that the company might emerge as one of the heavyweights in the virtual reality industry.
Screen Culture: Immersion and Virtual Reality If paralleling with the world of video games, the protagonist in that projected art work is the most close to the vision that the user could be associated with.
Virtual Reality: A Powerful New Technology for Filming The creation of VR highlights a new perception of space because, through technology, people can be transmitted to a different environment.
Internet, Virtual Reality, and World Wide Web Defining the concept of the Internet is a challenging task, mostly because of the changes that it has undergone over the course of its development.
Virtual Reality Technology and Soccer Training Moreover, the level of interactivity needs to be significant, and the most attention should be devoted to the modeling of situations that are viewed as the most problematic.
Virtual Reality in Healthcare Training The objective data will be gathered to inform the exploration of the first question, and it will focus on such performance measures as time, volume, and efficiency of task completion; the number of errors pre- […]
Scholar VR: Virtual Reality Planning Service Studio To ensure that the small and mid-sized companies in the United Kingdom understand the leverage they can get by using VR technology.
IOS and Browser Applications and Virtual Reality From the consumer’s point of view, any mobile application is good if it is of interest to the public and covers a large target audience.
Virtual Reality’ Sports Training System Working Steps The efficiency of the given technology is evidenced by the fact that it is used by various coaches and teams to provide training for their players. For this reason, it is possible to predict the […]
Virtual Reality Technology in Soccer Training Therefore, it is imperative to invest in this area to protect the safety of our technology and ensure that we have a viable product.
Virtual Reality Technology in Referee Training Referees need to experience the practical nature of the profession during the training process, and the VR technology will eliminate the underlying challenges to the development of experience in the profession.
Virtual Reality Technology for Wide Target Audience Due to the numerous applications in both leisure and industry, as well as massive popularity with audiences of different ages, there is a chance that, in several years, evaluating the target audiences of Virtual Reality […]
Surgeon Students’ Virtual Reality Learning Programs In order for the students to feel like they are operating on living patients instead of waving instruments in the air, it is necessary to provide the environment that would compensate for the shortcomings of […]
Virtual Reality and Solitary Confinement Nowadays, the majority of the representatives of the general public all over the world are familiar with the concept of virtual reality, and many of them have already experienced it.
Samsung Gear Virtual Reality Product Launch The paper at hand is devoted to the analysis of the launch of Samsung Gear VR from different perspectives: the product development model, the business analysis, its technical implementation, etc.
Virtual Reality in Military Health Care The purpose of the research is to identify the capabilities of VR and its applications in military health care. This study will explore the current uses of VR, its different functionalities, applications in the field […]
Virtual Reality Ride Experience at Disneyland Florida The basic concept of the proposed ride is to utilize the current advances in VR technology to create a simulated experience for park-goers that is safe, widely usable, and sufficiently immersive that there is a […]
Imagineering Myths About Virtual Reality Walt Disney Imagineering team, which encompassed a wide range of professionals responsible for various entertainments offered by theme parks, resorts, and other venues, is currently devoting a lot of time and effort to unlock the […]
Virtual Reality Industry Analysis While it is true that the production and sale of virtual reality headsets could be in the millions in the future as the technology develops and becomes more acceptable, it cannot be stated at the […]
Virtual Reality in Construction Originally, the use of virtual reality in construction within the past decade has been limited to 3D object design wherein separate 3D representations of the exterior and interior of the buildings are designed utilizing 3D […]
Virtual Reality in Soccer Training The following work will focus on the analysis of the use of Virtual Reality in the training of soccer players with the evaluation of the practices adopted by particular soccer teams.
Abstract on Architecture and the Role of Virtual Reality
Advantages and Disadvantages of Escapism and Virtual Reality
Strategic Analysis of the Creation of a New Rating System in Virtual Reality Gaming
Study on Real/Virtual Relationships Through a Mobile Augmented Reality Application
Benefits and Dangers of Virtual Reality
Can Virtual Reality Kill?
Cognitive Psychology & Virtual Reality Systems
Computer Science and Virtual Reality
Development of Virtual Reality Technology in the Aspect of Educational Applications
Difference Between Augmented Reality and Virtual Reality
Role of Virtual Reality in Education
Humanity Versus Virtual Reality
Simulation and Virtual Reality in a Sport Management Curriculum Setting
Smart VR: A Virtual Reality Environment for Mathematics
Sports Management Curriculum, Virtual Reality, and Traditional Simulation
SWOT Analysis: The Lego Product and the ‘Virtual Reality’
The Augmented Reality and Virtual Reality Market Forecast and Opportunities in U.S.
Tracking Strategy in Increased Reality and Virtual Reality
Using the Virtual Reality to Develop Educational Games for Middle School Science Classrooms
What Is Virtual Reality?
What Are the Advantages and Disadvantages of Virtual Reality?
What Do Consumers Prefer for the Attributes of Virtual Reality Head-Mount Displays?
Virtual Reality and Its Potential to Become the Greatest Technological Advancement
Lucid Dreams as the First Virtual Reality
Development of Virtual Reality
Introduction to Virtual Reality Technology and Society
Issue “Virtual Reality in Marketing”: Definition, Theory and Practice
Applying Virtual Reality in Tourism
Application of Virtual Reality in Military
Augmented Reality & Virtual Reality Industry Forecast and Analysis to 2013 – 2018
Breakthrough Virtual Reality Sex Machine
Components Driving Virtual Reality Today and Beyond
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach
Gaming to Health Care: Using Virtual Reality in Physical Rehabilitation
Smart Phones and Virtual Reality in 10 Years
Evolution of Art in Virtual Reality
Use of Virtual Reality in Molecular Docking Science Experiments
Use of Virtual Reality for Concussion Diagnosis
Virtual Reality as Analgesia: An Alternative Approach for Managing Chronic Pain
Virtual Reality: The Real Life Implications of Raising a Virtual Child
When Virtual Reality Meets Realpolitik: Social Media Shaping the Arab Government-Citizen Relationship
Can Virtual Reality Ever Be Implemented in Routine Clinical Settings?
What Is More Attractive, Virtual Reality or Augmented Reality?
What Is Virtual Reality and How It Works?
What Are the Benefits of Virtual Reality?
Is Virtual Reality Dangerous?
How Is Virtual Reality Used in Everyday Life?
What Are the Risks of Virtual Reality?
What Is the Future of Virtual Reality in Education?
How Do You Think Virtual Reality Devices Will Change Our World?
What Are Three Disadvantages of Virtual Reality?
What’s the Point of Virtual Reality?
How Can Virtual Reality Optimize Education?
How Did Virtual Reality Affect Our Lives?
Will Virtual Reality Eventually Replace Our Real Reality?
What Are Some Cool Virtual Reality Ideas?
When Will We Have Full-Sensory Virtual Reality?
What Do I Need to Develop Virtual Reality Games?
Why Did Virtual Reality Never Take Off so Far?
What Are Medical Applications of Virtual Reality?
How Virtual Reality Can Help in Treatment of Posttraumatic Stress Disorder?
What Are the Biggest Problems Virtual Reality Can Solve?
What Unsolved Problems Could Virtual Reality Be a Solution For?
How Would a Fully Immersive Virtual Reality Work?
When Will Virtual Reality Become Popular?
What’s the Best Way to Experience Virtual Reality Technology?
How Will Virtual Reality Change Advertising?
Which Are the Best Virtual Reality Companies in India?
What Are the Pros and Cons of Virtual Reality?
What Are the Coding Languages Required for Virtual Reality?
Chicago (A-D)
Chicago (N-B)

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Over the course of studying in college, you will surely have to write a lot of Argumentative Essays on Virtual Reality. Lucky you if linking words together and turning them into meaningful text comes naturally to you; if it's not the case, you can save the day by finding an already written Virtual Reality Argumentative Essay example and using it as a template to follow.

This is when you will definitely find WowEssays' free samples database extremely helpful as it embodies numerous skillfully written works on most various Virtual Reality Argumentative Essays topics. Ideally, you should be able to find a piece that meets your requirements and use it as a template to compose your own Argumentative Essay. Alternatively, our expert essay writers can deliver you an original Virtual Reality Argumentative Essay model written from scratch according to your custom instructions.

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Video games have faced criticism and appreciation both at the same time, but still the disadvantages are more commonly highlighted. The most important issue is that an answer to the question “Are video Games dangerous?” is very subjective and it’s very difficult to say that what all games, or playing for how much time, can really prove dangerous.

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This paper examines the arguments for and against the sue of animals in experiments. It offers a brief examination of the historical development of the opposition to using animals; it considers the question form the practical and the ethical standpoint; it examines some of the evidence which shows the inefficiency and unreliability of animal use; and it also shows the way ethical standpoints have changed in the 21st century.

Key words: the three Rs; in vitro testing ; principle of equality; human volunteers; computer simulations.

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Home — Essay Samples — Information Science and Technology — Virtual Reality — Virtual Reality In The Real World

Virtual Reality in The Real World

Categories: Virtual Reality

About this sample

Words: 2649 |

14 min read

Published: May 19, 2020

Words: 2649 | Pages: 6 | 14 min read

Introduction, getting started with vr, 360-degree videos, vr headsets and cost comparisons, real world applications, vr in education, vr in healthcare.

Understand and distinguish between the VR, AR, MR and ER concepts
Describe the technology/devices required to develop and consume the content
Affordability and Cost comparisons
Applications in retail, auto and hospitality industries with an in-depth view into Education and Healthcare as use cases.

Extended Reality

Virtual reality, augmented reality, mixed reality.

Ford uses VR to test elements of new cars saving around $8mn per year. Audi uses VR to enable customers to configure and customize vehicles. BMW Uses Virtual Reality to Build Prototypes
Airbus uses VR to demo planes to customer
The Weather Channel has been using mixed reality to great effect with its reporting on Hurricane Florence, showing how the water may rise and swallow buildings and cars in its path.
Sotheby’s international Realty uses VR to host open houses to sell luxury homes
The North Face takes users to virtual Yosemite National park
Marriot designed a temperature controlled virtual phone booth that allows its customers to visit its properties in Hawaii and London
Ikea Place app that lets users test out potential pieces of furniture in their homes before purchasing
Gap’s Dressing Room AR application that lets customers try out clothes
Live Nation allows customers to stream concerts via VR headsets, allowing more people to be present for live events.
American football quarterbacks use virtual reality to train themselves on reading defensive schemes before the play and reacting to blitzes.
While VR is finding its place across a varied set of applications, this paper looks in detail education and healthcare as two use cases and how VR is transforming these spaces.

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An Argumentative-Writing Unit for Students Doing Remote Learning

Suggestions for self-guided activities that can help students practice making claims and supporting them with evidence.

By Michael Gonchar and Katherine Schulten

Note to Teachers: Here is a PDF teacher’s guide for using this unit with students.

Whether you’re here because your school has switched to remote learning or because you just want to sharpen your argumentative skills, welcome to our first “unit” written directly to students.

Of course, we know this isn’t a full unit like one you might work on over several weeks in school, under the direction of a teacher. Instead, it’s a streamlined version of the many resources our site offers on this topic, written in a way we hope teenagers can follow, at least in part, on their own.

If you are familiar with our site, then you know we believe strongly in student voice and choice. No matter how you use the ideas below, there is a lot of flexibility. You can choose what’s most relevant, interesting and meaningful to you as you go.

Here, in three items, is what you’ll be doing. How and in what order is up to you, though we have suggested a sequence.

Using our daily writing prompts to practice making arguments , either by posting a comment on our site, or by writing just for yourself, or for classmates or for a teacher in a remote learning-management system.

We’ve been asking a question a day since 2009, so you have lots to choose from. For instance, if the question “ Should parents track their children? ” doesn’t interest you, maybe “ Do memes make the internet a better place? ” will.

Studying some argumentative “mentor texts” — that is, good published examples full of “writer’s moves” you can borrow — that were written by fellow teenagers and by adults.

Writing a polished, 450-word opinion piece to submit to our Student Editorial Contest, which ends on April 21. We’ll pick winners, runners-up and honorable mentions and publish them on The Learning Network.

Here’s how. Please let us know if you have questions by posting them here, or by writing to us at [email protected].

Step 1: Create a free account.

Before you do anything else, you should create a free account so you can comment on our writing prompts. Here’s a video that walks you through the process.

Note: If you are under 13, you cannot post a public comment on NYTimes.com. If you are 13 to 18 years old, you should ask a parent or guardian to help you register because they will need to approve the Terms of Service.

Step 2: Submit a comment.

Now you’re ready to submit your first comment.

Go to this page: Argumentative Writing Prompts .

Scroll through the list and choose any prompt that interests you. Read the prompt, think about what you want to say and click on the comment button. Enter your name and location, type in your comment and press submit. Congratulations! You submitted your first comment.

Tip 1: Your name can be just your first name — or any format your teacher gives you. Your location can be your school, your city, state or even country.

Tip 2: Your comment won’t appear right away. We have moderators who approve every comment before it publishes, so please be patient.

Step 3: Get into the routine of writing casually.

We recommend that you respond to at least one new prompt each school day. If you’re feeling inspired, do more. We’re not looking for perfect grammar or structure, we’re just looking for thoughtful engagement with the question. It’s an easy way to flex your writing muscles.

Before you respond, you might think about the point you want to make, and consider how you’ll support that opinion with either evidence from the article or from your own life experiences and observations.

For good examples, take a look at some of the student comments on this recent ethical question , or on this popular question from 2018. What responses are most interesting to you? Why?

Tip: If you write about one of our most recent prompts, your comment might be featured in our weekly roundup of great comments . We spotlight 30 to 40 students each week.

Step 4: Reply to other students.

One of the things that make our comment section special is that students from all over the world participate.

Before you comment, read what other students have written. Pay attention to both what they say and how they say it. If they make a really good point, take note. If their writing is very clear and persuasive, think about how they did that.

If someone’s comment makes an impression on you, you can submit a reply. Above is an example of that kind of conversation, from this writing prompt .

Tip: When your comment is published, you’ll receive a confirmation email. You can forward this to your teacher to prove that you submitted a comment.

Step 5: Pick an issue you want to write about.

This unit culminates in our annual Student Editorial Contest , in which you’re invited to write about something you care about, and persuade us to care about it, too.

Here’s the challenge:

Choose a topic you care about — whether it’s something we’ve addressed on The Learning Network or not — then gather evidence from sources both inside and outside The New York Times and write a concise editorial (450 words or fewer) to convince readers of your view.

In the past, students have won by taking on topics as diverse as social media and policing ; video gaming and voting ; why it’s fine to be messy and why we should all eat more bugs . Scroll through our past winners, because the list goes on and on .

Think about the topics that matter most to you, and think about why they matter to you. As you’ll see if you read some of the work of our teenage winners, not only is it OK to write this essay from a first-person (“I”) point of view, often a persuasive essay is better when the writer reveals a personal stake in the issue.

Tip: You may want to use one of the topics you’ve already written about in this unit. Or, pick something entirely new. If you’re looking for inspiration, use these two lists to scroll through hundreds of ideas:

401 Prompts for Argumentative Writing

130 New Prompts for Argumentative Writing

Step 6: Do research.

Now that you have a topic, you’ll need to build out your position, and find evidence to support it. Our Editorial Contest requires that you use at least one Times source and one non-Times source in writing your essay. Now is your chance to broaden your “ news diet ” to find reliable sources of all kinds, and to read deeply and widely about this issue.

As you go, take notes. Find quotes from experts that strengthen your position. Seek out alternate perspectives and take them seriously. As you research, it is not uncommon for your position to become more nuanced or even change entirely once you begin to understand the big picture.

Tip: If you don’t have a subscription to The New York Times, you may hit the paywall while you’re doing your research. If you do, you can use the search bar on the Learning Network’s home page — scroll down, and you’ll find it hidden below the featured articles. All the Learning Network’s articles are free, and so are the New York Times links in those articles.

Step 7: Try some of these ‘writer’s moves.’

Now, start drafting. But as you go, you might learn from students who have come before you . What have these winners done that you admire? What lessons might these essays have for your writing?

Choose at least three of the winning essays to read, and take note of what “writer’s moves” impress you. Do they start with a great hook? Do they seamlessly weave in strong evidence? Do they deftly tackle counterarguments? Have they used interesting words or sentence structure?

For example, here is one that is written in the first person and follows a less-traditional structure: The Life-Changing Magic of Being Messy .

And here is one that is more traditional, perhaps like the argumentative essays you have written in school: Accountability-Based Testing Is Broken .

What can you learn from each of them? What strategies might you try?

Once you’ve studied several student essays, you might take a look at the Times Opinion section and find adult-written editorials or Op-Eds you admire. The more you can read and identify what works to persuade an audience, the better you’ll be at wielding those strategies.

Tip: The “writer’s moves” you identify don’t have to be big. Maybe you never realized a paragraph could begin with “For instance,” the way Alan Peng starts his second one: “For instance, as part of the process, teachers are forced to spend more and more time ‘teaching to the test,’ wasting valuable instruction time.” Or maybe you admire the short, punchy sentences Isabel Hwang uses: “Gross? Yes. Bad? Not necessarily.” Mentor texts are very personal — there are as many lessons in a good one as there are individual readers looking for them.

Step 8: Drafting your editorial.

A video made for us in 2014 by Andrew Rosenthal, who was then editor of the Times Opinion section.

If you’ve studied our previous winners, you probably realize that those essays don’t go by a set formula. Few of them follow all the “rules” of the classic five-paragraph essay, for instance. But all of them, like any good Opinion piece, do have three essential parts: a beginning (your introduction), a middle (the body) and an end (your conclusion).

Here is our contest rubric . As you compose, make sure you have done each of the things we ask, including stating a clear opinion, issuing a call to action around it and using reliable evidence to support your point of view.

Tip: Don’t forget that your editorial cannot be longer than 450 words. You might go into this contest thinking writing “short” is easier than writing “long,” but we hear from students and teachers every year that getting everything you want to say into so few words takes longer than you might think!

Step 9: Submit your editorial.

When you’re finished writing your editorial, find the appropriate submission form on the contest announcement page . Look for the heading: “How to Submit.” If you are over 16, you will use the Student Submission Form. If you are under 16, then have a teacher, parent or guardian submit your editorial using the Teacher Submission Form.

Tip: Ask someone else to read your draft before submitting it. Ask that person: “How well can you follow my argument? Do you find my evidence convincing?”

Thank you for participating.

Stay tuned. We announce winners about eight weeks after the contest ends.

If you have questions about this unit, submit a comment on this post or email us at [email protected].

Real moral problems in the use of virtual reality

Original Paper
Published: 26 July 2018
Volume 20 , pages 249–263, ( 2018 )

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Erick Jose Ramirez ORCID: orcid.org/0000-0001-9042-6942 1 &
Scott LaBarge 1

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In this paper, we argue that, under a specific set of circumstances, designing and employing certain kinds of virtual reality (VR) experiences can be unethical. After a general discussion of simulations and their ethical context, we begin our argument by distinguishing between the experiences generated by different media (text, film, computer game simulation, and VR simulation), and argue that VR experiences offer an unprecedented degree of what we call “perspectival fidelity” that prior modes of simulation lack. Additionally, we argue that when VR experiences couple this perspectival fidelity with what we call “context realism,” VR experiences have the ability to produce “virtually real experiences.” We claim that virtually real experiences generate ethical issues for VR technologies that are unique to the medium. Because subjects of these experiences treat them as if they were real, a higher degree of ethical scrutiny should be applied to any VR scenario with the potential to generate virtually real experiences. To mitigate this unique moral hazard, we propose and defend what we call “The Equivalence Principle.” This principle states that “if it would be wrong to allow subjects to have a certain experience in reality, then it would be wrong to allow subjects to have that experience in a virtually real setting.” We argue that such a principle, although limited in scope, should be part of the risk analysis conducted by any Institutional Review Boards, psychologists, empirically oriented philosophers, or game designers who are using VR technology in their work.

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The Cognitive Affective Model of Immersive Learning (CAMIL): a Theoretical Research-Based Model of Learning in Immersive Virtual Reality

Societal and ethical issues of digitization

A review of immersive virtual reality serious games to enhance learning and training

VR technologies comprise a large class of hardware devices that can include room-sized projection systems into which subjects are placed, head-mounted displays, and augmented reality (AR) devices which overlay additional content onto a subject’s experience of the actual world (Parsons et al. 2017 ). We focus on head-mounted displays because such systems are, by far, the most widespread form of VR researchers and the public are likely to use. Although we focus our analysis on head-mounted VR displays, much of what we say will also apply to other forms of VR and AR interfaces.

The substantial philosophical literature on simulation is centered heavily around the role of simulations and models in experimental science, and the metaphysical and epistemological issues that are prominent in that discussion are not particularly germane to our concerns in this paper. However, we share some areas of overlapping interest. Frigg and Hartmann ( 2012 ) have a useful discussion of a range of views concerning what has to be true of a model for it to successfully “represent” its target. On the difference between models and simulations, see Krohs ( 2008 ) and Morrison ( 2009 ). Winsberg ( 2009 ) distinguishes some different sorts of simulation. Knuttila ( 2011 ) has a useful discussion of the senses in which scientific models may be said to represent the physical reality they model that could have some bearing on simulations and the things they simulate, particularly emphasizing the intentions of the creators/users of the simulation. Godfrey-Smith ( 2006 , p. 733) points out how different scientists can construe the same model as having different success criteria in a way that tracks our point below concerning the context-dependent nature of success in simulation.

For example, the computer program Microsoft Flight Simulator , in simulating what it is like to fly an airplane, attempts to be relevantly like an actual airplane by providing the user of the simulation with visual and auditory feedbacks that are experientially similar to what an actual pilot would hear and see in her airplane (e.g. the clouds and horizon, the instrument panel, the roar of the engines), but it remains a simulation because there is no actual airplane involved, and the game “pilot” never leaves her desk chair. If one were to try to simulate flying an airplane by putting someone in an actual airplane and having them work the real controls to really fly the airplane, that person wouldn’t be simulating flying the plane, she would be actually flying it. On this view, while a digital environment could simulate a real environment, it could never be a reinstantiation or reproduction of that environment. It would lack the necessary substance. It may nevertheless be possible, however, that certain elements of the digital environment may be reinstantiations of elements of the real environment. The example of reproduced sounds that we discuss later in the paper would constitute such a case.

We thank an anonymous reviewer for pressing us on this issue and for helping us clarify the nature of our particular moral concern. Although we believe that encouraging users to simulate immoral actions raises concerns about the nature of simulation, our own concerns in this article focus on what we believe is a different and under-examined problem concerning the possibility of VR experience itself to cause subjects harm.

The literature on the possible social and psychological effects of media like films and video games is vast, and we do not propose to give a thorough survey here. The following sources are, however, representative of the sort of work we have in mind: Krahé and Möller ( 2010 ) finds some increase in violent behavior among adolescents who engage in violent gameplay while Fischer et al. ( 2009 ) finds an even larger increase in violent behavior from those who play games that allow you to customize your avatar. Valkenburg and Peter ( 2013 ) offers a general model that aims to explain how cognitive, emotional, and “excitative” features of games can help to explain why media, especially violent media, affect people differently. Two meta-analytic studies reach opposed conclusions about the correlation between violent media and aggression: Anderson et al. ( 2010 ) suggests such a correlation, while Savage and Yancey ( 2008 ) resists that conclusion.

Sanchez-Vives and Slater ( 2005 ). Psychologists call this sense of being actually transported into a virtual space “presence”; we discuss this concept of presence and its relationship to our concepts of perspectival fidelity and context-realism below.

Won et al. ( 2015 ). Though subjects may feel like their virtual avatars belong to them, we want to distinguish a subject’s perception that she has a tentacle from the perception she would have if she actually had a tentacle. VR may provide subjects with the former but not the latter perception.

Sanchez-Vives and Slater ( 2005 ) and Fox et al. ( 2012 ).

We would like to distinguish experiences of presence from virtually real experiences. Although all virtually real experiences require a subject to experience presence, many experiences of presence will lack the context-realism and perspectival fidelity that we argue are distinctive of virtually real experiences. We say more on this distinction later.

We use the term “neurotypical” here as a descriptive statistical term to denote the range of sensory capacities available to the average adult human being. We embrace what some have referred to as ‘neurodiversity’ movements (Herrera and Perry 2013 ) and do not intend to use the term neurotypical normatively. Deafness is, by all accounts, not neurotypical though arguably it is not a disability or disease for those in the deaf community. An experience that lacks auditory inputs, however, is less perspectivally faithful than one that includes such inputs. Perspectival fidelity will relativize to the typical phenomenology of the subject population (e.g., perspectival fidelity for gorillas will look differently than for neurotypical humans and perspectival fidelity for the deaf will vary in many respects from that of hearing persons).

For similar reasons, such a soundtrack would diminish the degree of context-realism of the representation.

As augmented reality devices become more widespread and such meta-content becomes a standard component of lived experience, simulations that include this sort of meta-content may thereby become more context-real.

This is an empirical conjecture on our part. As we noted above, we do not wish to produce a view on the necessary and sufficient conditions for context-realism or perspectival fidelity. That is a task better suited to psychologists and neuroscientists. What we do wish to do is to mark out the concept of virtually real experience and its connection to VR experience in order to generate what we believe is a novel and underappreciated ethical concern about such experiences.

We are interested primarily in how subjects experience VR simulations in-the-moment, as it were. Our analysis, therefore, focuses on virtually real experiences and describes those as experiences that are treated as if they were real in the moment they are being experienced. A treats VR experience b as if it were real if A, either behaviorally, physiologically, neurologically, or psychologically reacts to b in a similar way as they would react to a real-life experience of b. It is entirely possible that subjects may re-frame these experiences after the fact (“it wasn’t real anyway”). We believe that moral issues can arise with respect to how subjects process their experiences after-the-fact, though these are outside the scope of this article. We thank an anonymous reviewer for helping us clarify this concern.

Sanchez-Vives and Slater ( 2005 , p. 333).

For similar reasons, we have doubts about the ability of VR environments to allow for any form of “in-their-shoes” empathic perspective taking (Goldi 2011 ; Ramirez 2017 ), though we do not deny that subjects in such environments feel a high degree of presence in them.

Feinberg ( 1985 , p. 10).

Note that our analysis of the potential harms of a film would be different if the film were not a simulation of fictional events but a documentary of actual events; the ethics of filming and viewing a simulation of someone being stalked and killed, for instance, are, we assume, different from the ethics of filming and viewing an actual murder. In what follows we will be focusing our attention entirely on simulations.

Strictly speaking, the sounds of a nails on a blackboard or of insipid conversation would be recreations or instances of an aspect of an experience but would not by themselves rise to the level of a recreation or instance of the whole experience . This is because of the different situational factors (subdoxastic elements of experience) that would be missing from the film version of the experience relative to the first-personal experience of being on a bus. For example, while a threatening gesture aimed at the camera may be visually similar to the same threatening gesture aimed at you in reality, your experience of the two gestures is likely to be qualitatively different.

In assessing these offenses, we set aside the very real issues that others have raised with encouraging subjects to themselves engage in unethical behavior, concerns sometimes discussed in terms of the “Gamer’s Dilemma.” Although we agree that simulations which encourage subjects to rape, torture, or kill virtual persons raise important ethical issues (especially in terms of long-term effects on individual and societal norms), we sidestep this concern here to focus on the nature of the subjective trauma that may be experienced by the subject of the experience herself. Thanks go to an anonymous reviewer for asking us to clarify this concern.

As VR technology develops, it is possible that some things that are only simulatable now might become reproducible, and smells seem a likely candidate. If VR simulations someday include elements like reproducing the odor of flatulence, and if we arrive at a consensus that being exposed to reproduced flatulence is so unpleasant that people would reasonably want to be protected from the experience, we would have to consider moving such offenses into a different category.

Our point becomes even stronger if we assume olfactory elements can be introduced to these simulations. However, even if a reader thinks these particular cases are still not morally problematic when experienced as virtually real, so long as they can imagine a scenario in which an experience becomes morally problematic when it becomes virtually real, the argument progresses.

Also, for a modern audience watching a film, part of the phenomenology of viewing a film involves the consciousness that the events one is watching on-screen were filmed at some point in the past, and so are not genuinely present. This is not true of traditional and VR computer simulations.

Although the products of imagination are almost always incapable of the sort of perspective-taking that produces virtually real experiences, they are capable of triggering trauma in some subjects. This is a significant concern and we do not wish to downplay it. Such scenarios’ ability to induce trauma appears not to depend on their medium (text, film, VR), and so we do not focus on it in this paper. It should, however, remain a real concern for those who wish to expose naive subjects to potentially traumatic scenarios in any form.

For example, our concern, stated very generally, is about a form of “imaginative resistance”: “imaginative resistance occurs when an otherwise competent imaginer finds it difficult to engage in some sort of prompted imaginative activity” (Szabó and Liao 2016 , p. 405). In our case, however, we argue that the problem runs deeper than finding it “difficult” to imagine the scenarios of these thought experiments. Specifically, we believe that features of first-personal perspectives themselves can make it all but impossible to carry out these thought experiments via the imagination (Goldie 2011 ; Ramirez 2017 ). We thank an anonymous reviewer for this clarification.

In fairness, Slater et al. ( 2006 , p. 7) appear to appreciate this concern: “[t]he actual conditions of Milgram’s experiments can, of course, never be exactly replicated in virtual reality since the participants will always know that the situation is unreal—and if eventually virtual reality became so indistinguishable from reality that the participants could not readily discriminate between the two, then the ethics issue would arise again.” However, they fail to appreciate that virtually real experiences are dimensional and may be generated even without photorealistic environments. Their own research provides evidence for this claim.

While it would surely be wrong to amputate a subject’s healthy limbs in real life even if the subject consented, surely it is not wrong (at present) to simulate lopping off limbs in VR. On our view, this is true only given the limitations of existing VR technology. If in the future companies produce VR bodysuits with the capacity to, for instance, inflict high levels of pain on their wearers, we might well decide it is no longer morally acceptable to simulate experiences that cause extreme pain in VR. As the levels of context-realism and perspectival fidelity that technology permits increases, we will need to recalibrate our intuitions about what is and is not acceptable to simulate. We thank an anonymous reviewer for pointing out the need for clarification on this point.

For examples of game developers expressing concern about VR simulation-induced trauma, see Hudson ( 2016 ) and Handrahan ( 2016 ).

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Funding was provided by Markkula Center for Applied Ethics and Oculus Education Grant.

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Ramirez, E.J., LaBarge, S. Real moral problems in the use of virtual reality. Ethics Inf Technol 20 , 249–263 (2018). https://doi.org/10.1007/s10676-018-9473-5

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Published : 26 July 2018

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DOI : https://doi.org/10.1007/s10676-018-9473-5

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ORIGINAL RESEARCH article

The past, present, and future of virtual and augmented reality research: a network and cluster analysis of the literature.

$\r\nPietro Cipresso,*$

1 Applied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano, Milan, Italy
2 Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
3 Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain

The recent appearance of low cost virtual reality (VR) technologies – like the Oculus Rift, the HTC Vive and the Sony PlayStation VR – and Mixed Reality Interfaces (MRITF) – like the Hololens – is attracting the attention of users and researchers suggesting it may be the next largest stepping stone in technological innovation. However, the history of VR technology is longer than it may seem: the concept of VR was formulated in the 1960s and the first commercial VR tools appeared in the late 1980s. For this reason, during the last 20 years, 100s of researchers explored the processes, effects, and applications of this technology producing 1000s of scientific papers. What is the outcome of this significant research work? This paper wants to provide an answer to this question by exploring, using advanced scientometric techniques, the existing research corpus in the field. We collected all the existent articles about VR in the Web of Science Core Collection scientific database, and the resultant dataset contained 21,667 records for VR and 9,944 for augmented reality (AR). The bibliographic record contained various fields, such as author, title, abstract, country, and all the references (needed for the citation analysis). The network and cluster analysis of the literature showed a composite panorama characterized by changes and evolutions over the time. Indeed, whether until 5 years ago, the main publication media on VR concerned both conference proceeding and journals, more recently journals constitute the main medium of communication. Similarly, if at first computer science was the leading research field, nowadays clinical areas have increased, as well as the number of countries involved in VR research. The present work discusses the evolution and changes over the time of the use of VR in the main areas of application with an emphasis on the future expected VR’s capacities, increases and challenges. We conclude considering the disruptive contribution that VR/AR/MRITF will be able to get in scientific fields, as well in human communication and interaction, as already happened with the advent of mobile phones by increasing the use and the development of scientific applications (e.g., in clinical areas) and by modifying the social communication and interaction among people.

Introduction

In the last 5 years, virtual reality (VR) and augmented reality (AR) have attracted the interest of investors and the general public, especially after Mark Zuckerberg bought Oculus for two billion dollars ( Luckerson, 2014 ; Castelvecchi, 2016 ). Currently, many other companies, such as Sony, Samsung, HTC, and Google are making huge investments in VR and AR ( Korolov, 2014 ; Ebert, 2015 ; Castelvecchi, 2016 ). However, if VR has been used in research for more than 25 years, and now there are 1000s of papers and many researchers in the field, comprising a strong, interdisciplinary community, AR has a more recent application history ( Burdea and Coiffet, 2003 ; Kim, 2005 ; Bohil et al., 2011 ; Cipresso and Serino, 2014 ; Wexelblat, 2014 ). The study of VR was initiated in the computer graphics field and has been extended to several disciplines ( Sutherland, 1965 , 1968 ; Mazuryk and Gervautz, 1996 ; Choi et al., 2015 ). Currently, videogames supported by VR tools are more popular than the past, and they represent valuables, work-related tools for neuroscientists, psychologists, biologists, and other researchers as well. Indeed, for example, one of the main research purposes lies from navigation studies that include complex experiments that could be done in a laboratory by using VR, whereas, without VR, the researchers would have to go directly into the field, possibly with limited use of intervention. The importance of navigation studies for the functional understanding of human memory in dementia has been a topic of significant interest for a long time, and, in 2014, the Nobel Prize in “Physiology or Medicine” was awarded to John M. O’Keefe, May-Britt Moser, and Edvard I. Moser for their discoveries of nerve cells in the brain that enable a sense of place and navigation. Journals and magazines have extended this knowledge by writing about “the brain GPS,” which gives a clear idea of the mechanism. A huge number of studies have been conducted in clinical settings by using VR ( Bohil et al., 2011 ; Serino et al., 2014 ), and Nobel Prize winner, Edvard I. Moser commented about the use of VR ( Minderer et al., 2016 ), highlighting its importance for research and clinical practice. Moreover, the availability of free tools for VR experimental and computational use has made it easy to access any field ( Riva et al., 2011 ; Cipresso, 2015 ; Brown and Green, 2016 ; Cipresso et al., 2016 ).

Augmented reality is a more recent technology than VR and shows an interdisciplinary application framework, in which, nowadays, education and learning seem to be the most field of research. Indeed, AR allows supporting learning, for example increasing-on content understanding and memory preservation, as well as on learning motivation. However, if VR benefits from clear and more definite fields of application and research areas, AR is still emerging in the scientific scenarios.

In this article, we present a systematic and computational analysis of the emerging interdisciplinary VR and AR fields in terms of various co-citation networks in order to explore the evolution of the intellectual structure of this knowledge domain over time.

Virtual Reality Concepts and Features

The concept of VR could be traced at the mid of 1960 when Ivan Sutherland in a pivotal manuscript attempted to describe VR as a window through which a user perceives the virtual world as if looked, felt, sounded real and in which the user could act realistically ( Sutherland, 1965 ).

Since that time and in accordance with the application area, several definitions have been formulated: for example, Fuchs and Bishop (1992) defined VR as “real-time interactive graphics with 3D models, combined with a display technology that gives the user the immersion in the model world and direct manipulation” ( Fuchs and Bishop, 1992 ); Gigante (1993) described VR as “The illusion of participation in a synthetic environment rather than external observation of such an environment. VR relies on a 3D, stereoscopic head-tracker displays, hand/body tracking and binaural sound. VR is an immersive, multi-sensory experience” ( Gigante, 1993 ); and “Virtual reality refers to immersive, interactive, multi-sensory, viewer-centered, 3D computer generated environments and the combination of technologies required building environments” ( Cruz-Neira, 1993 ).

As we can notice, these definitions, although different, highlight three common features of VR systems: immersion, perception to be present in an environment, and interaction with that environment ( Biocca, 1997 ; Lombard and Ditton, 1997 ; Loomis et al., 1999 ; Heeter, 2000 ; Biocca et al., 2001 ; Bailenson et al., 2006 ; Skalski and Tamborini, 2007 ; Andersen and Thorpe, 2009 ; Slater, 2009 ; Sundar et al., 2010 ). Specifically, immersion concerns the amount of senses stimulated, interactions, and the reality’s similarity of the stimuli used to simulate environments. This feature can depend on the properties of the technological system used to isolate user from reality ( Slater, 2009 ).

Higher or lower degrees of immersion can depend by three types of VR systems provided to the user:

• Non-immersive systems are the simplest and cheapest type of VR applications that use desktops to reproduce images of the world.

• Immersive systems provide a complete simulated experience due to the support of several sensory outputs devices such as head mounted displays (HMDs) for enhancing the stereoscopic view of the environment through the movement of the user’s head, as well as audio and haptic devices.

• Semi-immersive systems such as Fish Tank VR are between the two above. They provide a stereo image of a three dimensional (3D) scene viewed on a monitor using a perspective projection coupled to the head position of the observer ( Ware et al., 1993 ). Higher technological immersive systems have showed a closest experience to reality, giving to the user the illusion of technological non-mediation and feeling him or her of “being in” or present in the virtual environment ( Lombard and Ditton, 1997 ). Furthermore, higher immersive systems, than the other two systems, can give the possibility to add several sensory outputs allowing that the interaction and actions were perceived as real ( Loomis et al., 1999 ; Heeter, 2000 ; Biocca et al., 2001 ).

Finally, the user’s VR experience could be disclosed by measuring presence, realism, and reality’s levels. Presence is a complex psychological feeling of “being there” in VR that involves the sensation and perception of physical presence, as well as the possibility to interact and react as if the user was in the real world ( Heeter, 1992 ). Similarly, the realism’s level corresponds to the degree of expectation that the user has about of the stimuli and experience ( Baños et al., 2000 , 2009 ). If the presented stimuli are similar to reality, VR user’s expectation will be congruent with reality expectation, enhancing VR experience. In the same way, higher is the degree of reality in interaction with the virtual stimuli, higher would be the level of realism of the user’s behaviors ( Baños et al., 2000 , 2009 ).

From Virtual to Augmented Reality

Looking chronologically on VR and AR developments, we can trace the first 3D immersive simulator in 1962, when Morton Heilig created Sensorama, a simulated experience of a motorcycle running through Brooklyn characterized by several sensory impressions, such as audio, olfactory, and haptic stimuli, including also wind to provide a realist experience ( Heilig, 1962 ). In the same years, Ivan Sutherland developed The Ultimate Display that, more than sound, smell, and haptic feedback, included interactive graphics that Sensorama didn’t provide. Furthermore, Philco developed the first HMD that together with The Sword of Damocles of Sutherland was able to update the virtual images by tracking user’s head position and orientation ( Sutherland, 1965 ). In the 70s, the University of North Carolina realized GROPE, the first system of force-feedback and Myron Krueger created VIDEOPLACE an Artificial Reality in which the users’ body figures were captured by cameras and projected on a screen ( Krueger et al., 1985 ). In this way two or more users could interact in the 2D-virtual space. In 1982, the US’ Air Force created the first flight simulator [Visually Coupled Airbone System Simulator (VCASS)] in which the pilot through an HMD could control the pathway and the targets. Generally, the 80’s were the years in which the first commercial devices began to emerge: for example, in 1985 the VPL company commercialized the DataGlove, glove sensors’ equipped able to measure the flexion of fingers, orientation and position, and identify hand gestures. Another example is the Eyephone, created in 1988 by the VPL Company, an HMD system for completely immerging the user in a virtual world. At the end of 80’s, Fake Space Labs created a Binocular-Omni-Orientational Monitor (BOOM), a complex system composed by a stereoscopic-displaying device, providing a moving and broad virtual environment, and a mechanical arm tracking. Furthermore, BOOM offered a more stable image and giving more quickly responses to movements than the HMD devices. Thanks to BOOM and DataGlove, the NASA Ames Research Center developed the Virtual Wind Tunnel in order to research and manipulate airflow in a virtual airplane or space ship. In 1992, the Electronic Visualization Laboratory of the University of Illinois created the CAVE Automatic Virtual Environment, an immersive VR system composed by projectors directed on three or more walls of a room.

More recently, many videogames companies have improved the development and quality of VR devices, like Oculus Rift, or HTC Vive that provide a wider field of view and lower latency. In addition, the actual HMD’s devices can be now combined with other tracker system as eye-tracking systems (FOVE), and motion and orientation sensors (e.g., Razer Hydra, Oculus Touch, or HTC Vive).

Simultaneously, at the beginning of 90’, the Boing Corporation created the first prototype of AR system for showing to employees how set up a wiring tool ( Carmigniani et al., 2011 ). At the same time, Rosenberg and Feiner developed an AR fixture for maintenance assistance, showing that the operator performance enhanced by added virtual information on the fixture to repair ( Rosenberg, 1993 ). In 1993 Loomis and colleagues produced an AR GPS-based system for helping the blind in the assisted navigation through adding spatial audio information ( Loomis et al., 1998 ). Always in the 1993 Julie Martin developed “Dancing in Cyberspace,” an AR theater in which actors interacted with virtual object in real time ( Cathy, 2011 ). Few years later, Feiner et al. (1997) developed the first Mobile AR System (MARS) able to add virtual information about touristic buildings ( Feiner et al., 1997 ). Since then, several applications have been developed: in Thomas et al. (2000) , created ARQuake, a mobile AR video game; in 2008 was created Wikitude that through the mobile camera, internet, and GPS could add information about the user’s environments ( Perry, 2008 ). In 2009 others AR applications, like AR Toolkit and SiteLens have been developed in order to add virtual information to the physical user’s surroundings. In 2011, Total Immersion developed D’Fusion, and AR system for designing projects ( Maurugeon, 2011 ). Finally, in 2013 and 2015, Google developed Google Glass and Google HoloLens, and their usability have begun to test in several field of application.

Virtual Reality Technologies

Technologically, the devices used in the virtual environments play an important role in the creation of successful virtual experiences. According to the literature, can be distinguished input and output devices ( Burdea et al., 1996 ; Burdea and Coiffet, 2003 ). Input devices are the ones that allow the user to communicate with the virtual environment, which can range from a simple joystick or keyboard to a glove allowing capturing finger movements or a tracker able to capture postures. More in detail, keyboard, mouse, trackball, and joystick represent the desktop input devices easy to use, which allow the user to launch continuous and discrete commands or movements to the environment. Other input devices can be represented by tracking devices as bend-sensing gloves that capture hand movements, postures and gestures, or pinch gloves that detect the fingers movements, and trackers able to follow the user’s movements in the physical world and translate them in the virtual environment.

On the contrary, the output devices allow the user to see, hear, smell, or touch everything that happens in the virtual environment. As mentioned above, among the visual devices can be found a wide range of possibilities, from the simplest or least immersive (monitor of a computer) to the most immersive one such as VR glasses or helmets or HMD or CAVE systems.

Furthermore, auditory, speakers, as well as haptic output devices are able to stimulate body senses providing a more real virtual experience. For example, haptic devices can stimulate the touch feeling and force models in the user.

Virtual Reality Applications

Since its appearance, VR has been used in different fields, as for gaming ( Zyda, 2005 ; Meldrum et al., 2012 ), military training ( Alexander et al., 2017 ), architectural design ( Song et al., 2017 ), education ( Englund et al., 2017 ), learning and social skills training ( Schmidt et al., 2017 ), simulations of surgical procedures ( Gallagher et al., 2005 ), assistance to the elderly or psychological treatments are other fields in which VR is bursting strongly ( Freeman et al., 2017 ; Neri et al., 2017 ). A recent and extensive review of Slater and Sanchez-Vives (2016) reported the main VR application evidences, including weakness and advantages, in several research areas, such as science, education, training, physical training, as well as social phenomena, moral behaviors, and could be used in other fields, like travel, meetings, collaboration, industry, news, and entertainment. Furthermore, another review published this year by Freeman et al. (2017) focused on VR in mental health, showing the efficacy of VR in assessing and treating different psychological disorders as anxiety, schizophrenia, depression, and eating disorders.

There are many possibilities that allow the use of VR as a stimulus, replacing real stimuli, recreating experiences, which in the real world would be impossible, with a high realism. This is why VR is widely used in research on new ways of applying psychological treatment or training, for example, to problems arising from phobias (agoraphobia, phobia to fly, etc.) ( Botella et al., 2017 ). Or, simply, it is used like improvement of the traditional systems of motor rehabilitation ( Llorens et al., 2014 ; Borrego et al., 2016 ), developing games that ameliorate the tasks. More in detail, in psychological treatment, Virtual Reality Exposure Therapy (VRET) has showed its efficacy, allowing to patients to gradually face fear stimuli or stressed situations in a safe environment where the psychological and physiological reactions can be controlled by the therapist ( Botella et al., 2017 ).

Augmented Reality Concept

Milgram and Kishino (1994) , conceptualized the Virtual-Reality Continuum that takes into consideration four systems: real environment, augmented reality (AR), augmented virtuality, and virtual environment. AR can be defined a newer technological system in which virtual objects are added to the real world in real-time during the user’s experience. Per Azuma et al. (2001) an AR system should: (1) combine real and virtual objects in a real environment; (2) run interactively and in real-time; (3) register real and virtual objects with each other. Furthermore, even if the AR experiences could seem different from VRs, the quality of AR experience could be considered similarly. Indeed, like in VR, feeling of presence, level of realism, and the degree of reality represent the main features that can be considered the indicators of the quality of AR experiences. Higher the experience is perceived as realistic, and there is congruence between the user’s expectation and the interaction inside the AR environments, higher would be the perception of “being there” physically, and at cognitive and emotional level. The feeling of presence, both in AR and VR environments, is important in acting behaviors like the real ones ( Botella et al., 2005 ; Juan et al., 2005 ; Bretón-López et al., 2010 ; Wrzesien et al., 2013 ).

Augmented Reality Technologies

Technologically, the AR systems, however various, present three common components, such as a geospatial datum for the virtual object, like a visual marker, a surface to project virtual elements to the user, and an adequate processing power for graphics, animation, and merging of images, like a pc and a monitor ( Carmigniani et al., 2011 ). To run, an AR system must also include a camera able to track the user movement for merging the virtual objects, and a visual display, like glasses through that the user can see the virtual objects overlaying to the physical world. To date, two-display systems exist, a video see-through (VST) and an optical see-though (OST) AR systems ( Botella et al., 2005 ; Juan et al., 2005 , 2007 ). The first one, disclosures virtual objects to the user by capturing the real objects/scenes with a camera and overlaying virtual objects, projecting them on a video or a monitor, while the second one, merges the virtual object on a transparent surface, like glasses, through the user see the added elements. The main difference between the two systems is the latency: an OST system could require more time to display the virtual objects than a VST system, generating a time lag between user’s action and performance and the detection of them by the system.

Augmented Reality Applications

Although AR is a more recent technology than VR, it has been investigated and used in several research areas such as architecture ( Lin and Hsu, 2017 ), maintenance ( Schwald and De Laval, 2003 ), entertainment ( Ozbek et al., 2004 ), education ( Nincarean et al., 2013 ; Bacca et al., 2014 ; Akçayır and Akçayır, 2017 ), medicine ( De Buck et al., 2005 ), and psychological treatments ( Juan et al., 2005 ; Botella et al., 2005 , 2010 ; Bretón-López et al., 2010 ; Wrzesien et al., 2011a , b , 2013 ; see the review Chicchi Giglioli et al., 2015 ). More in detail, in education several AR applications have been developed in the last few years showing the positive effects of this technology in supporting learning, such as an increased-on content understanding and memory preservation, as well as on learning motivation ( Radu, 2012 , 2014 ). For example, Ibáñez et al. (2014) developed a AR application on electromagnetism concepts’ learning, in which students could use AR batteries, magnets, cables on real superficies, and the system gave a real-time feedback to students about the correctness of the performance, improving in this way the academic success and motivation ( Di Serio et al., 2013 ). Deeply, AR system allows the possibility to learn visualizing and acting on composite phenomena that traditionally students study theoretically, without the possibility to see and test in real world ( Chien et al., 2010 ; Chen et al., 2011 ).

As well in psychological health, the number of research about AR is increasing, showing its efficacy above all in the treatment of psychological disorder (see the reviews Baus and Bouchard, 2014 ; Chicchi Giglioli et al., 2015 ). For example, in the treatment of anxiety disorders, like phobias, AR exposure therapy (ARET) showed its efficacy in one-session treatment, maintaining the positive impact in a follow-up at 1 or 3 month after. As VRET, ARET provides a safety and an ecological environment where any kind of stimulus is possible, allowing to keep control over the situation experienced by the patients, gradually generating situations of fear or stress. Indeed, in situations of fear, like the phobias for small animals, AR applications allow, in accordance with the patient’s anxiety, to gradually expose patient to fear animals, adding new animals during the session or enlarging their or increasing the speed. The various studies showed that AR is able, at the beginning of the session, to activate patient’s anxiety, for reducing after 1 h of exposition. After the session, patients even more than to better manage animal’s fear and anxiety, ware able to approach, interact, and kill real feared animals.

Materials and Methods

Data collection.

The input data for the analyses were retrieved from the scientific database Web of Science Core Collection ( Falagas et al., 2008 ) and the search terms used were “Virtual Reality” and “Augmented Reality” regarding papers published during the whole timespan covered.

Web of science core collection is composed of: Citation Indexes, Science Citation Index Expanded (SCI-EXPANDED) –1970-present, Social Sciences Citation Index (SSCI) –1970-present, Arts and Humanities Citation Index (A&HCI) –1975-present, Conference Proceedings Citation Index- Science (CPCI-S) –1990-present, Conference Proceedings Citation Index- Social Science & Humanities (CPCI-SSH) –1990-present, Book Citation Index– Science (BKCI-S) –2009-present, Book Citation Index– Social Sciences & Humanities (BKCI-SSH) –2009-present, Emerging Sources Citation Index (ESCI) –2015-present, Chemical Indexes, Current Chemical Reactions (CCR-EXPANDED) –2009-present (Includes Institut National de la Propriete Industrielle structure data back to 1840), Index Chemicus (IC) –2009-present.

The resultant dataset contained a total of 21,667 records for VR and 9,944 records for AR. The bibliographic record contained various fields, such as author, title, abstract, and all of the references (needed for the citation analysis). The research tool to visualize the networks was Cite space v.4.0.R5 SE (32 bit) ( Chen, 2006 ) under Java Runtime v.8 update 91 (build 1.8.0_91-b15). Statistical analyses were conducted using Stata MP-Parallel Edition, Release 14.0, StataCorp LP. Additional information can be found in Supplementary Data Sheet 1 .

The betweenness centrality of a node in a network measures the extent to which the node is part of paths that connect an arbitrary pair of nodes in the network ( Freeman, 1977 ; Brandes, 2001 ; Chen, 2006 ).

Structural metrics include betweenness centrality, modularity, and silhouette. Temporal and hybrid metrics include citation burstness and novelty. All the algorithms are detailed ( Chen et al., 2010 ).

The analysis of the literature on VR shows a complex panorama. At first sight, according to the document-type statistics from the Web of Science (WoS), proceedings papers were used extensively as outcomes of research, comprising almost 48% of the total (10,392 proceedings), with a similar number of articles on the subject amounting to about 47% of the total of 10, 199 articles. However, if we consider only the last 5 years (7,755 articles representing about 36% of the total), the situation changes with about 57% for articles (4,445) and about 33% for proceedings (2,578). Thus, it is clear that VR field has changed in areas other than at the technological level.

About the subject category, nodes and edges are computed as co-occurring subject categories from the Web of Science “Category” field in all the articles.

According to the subject category statistics from the WoS, computer science is the leading category, followed by engineering, and, together, they account for 15,341 articles, which make up about 71% of the total production. However, if we consider just the last 5 years, these categories reach only about 55%, with a total of 4,284 articles (Table 1 and Figure 1 ).

TABLE 1. Category statistics from the WoS for the entire period and the last 5 years.

FIGURE 1. Category from the WoS: network for the last 5 years.

The evidence is very interesting since it highlights that VR is doing very well as new technology with huge interest in hardware and software components. However, with respect to the past, we are witnessing increasing numbers of applications, especially in the medical area. In particular, note its inclusion in the top 10 list of rehabilitation and clinical neurology categories (about 10% of the total production in the last 5 years). It also is interesting that neuroscience and neurology, considered together, have shown an increase from about 12% to about 18.6% over the last 5 years. However, historic areas, such as automation and control systems, imaging science and photographic technology, and robotics, which had accounted for about 14.5% of the total articles ever produced were not even in the top 10 for the last 5 years, with each one accounting for less than 4%.

About the countries, nodes and edges are computed as networks of co-authors countries. Multiple occurrency of a country in the same paper are counted once.

The countries that were very involved in VR research have published for about 47% of the total (10,200 articles altogether). Of the 10,200 articles, the United States, China, England, and Germany published 4921, 2384, 1497, and 1398, respectively. The situation remains the same if we look at the articles published over the last 5 years. However, VR contributions also came from all over the globe, with Japan, Canada, Italy, France, Spain, South Korea, and Netherlands taking positions of prominence, as shown in Figure 2 .

FIGURE 2. Country network (node dimension represents centrality).

Network analysis was conducted to calculate and to represent the centrality index ( Freeman, 1977 ; Brandes, 2001 ), i.e., the dimension of the node in Figure 2 . The top-ranked country, with a centrality index of 0.26, was the United States (2011), and England was second, with a centrality index of 0.25. The third, fourth, and fifth countries were Germany, Italy, and Australia, with centrality indices of 0.15, 0.15, and 0.14, respectively.

About the Institutions, nodes and edges are computed as networks of co-authors Institutions (Figure 3 ).

FIGURE 3. Network of institutions: the dimensions of the nodes represent centrality.

The top-level institutions in VR were in the United States, where three universities were ranked as the top three in the world for published articles; these universities were the University of Illinois (159), the University of South California (147), and the University of Washington (146). The United States also had the eighth-ranked university, which was Iowa State University (116). The second country in the ranking was Canada, with the University of Toronto, which was ranked fifth with 125 articles and McGill University, ranked 10 th with 103 articles.

Other countries in the top-ten list were Netherlands, with the Delft University of Technology ranked fourth with 129 articles; Italy, with IRCCS Istituto Auxologico Italiano, ranked sixth (with the same number of publication of the institution ranked fifth) with 125 published articles; England, which was ranked seventh with 125 articles from the University of London’s Imperial College of Science, Technology, and Medicine; and China with 104 publications, with the Chinese Academy of Science, ranked ninth. Italy’s Istituto Auxologico Italiano, which was ranked fifth, was the only non-university institution ranked in the top-10 list for VR research (Figure 3 ).

About the Journals, nodes, and edges are computed as journal co-citation networks among each journals in the corresponding field.

The top-ranked Journals for citations in VR are Presence: Teleoperators & Virtual Environments with 2689 citations and CyberPsychology & Behavior (Cyberpsychol BEHAV) with 1884 citations; however, looking at the last 5 years, the former had increased the citations, but the latter had a far more significant increase, from about 70% to about 90%, i.e., an increase from 1029 to 1147.

Following the top two journals, IEEE Computer Graphics and Applications ( IEEE Comput Graph) and Advanced Health Telematics and Telemedicine ( St HEAL T) were both left out of the top-10 list based on the last 5 years. The data for the last 5 years also resulted in the inclusion of Experimental Brain Research ( Exp BRAIN RES) (625 citations), Archives of Physical Medicine and Rehabilitation ( Arch PHYS MED REHAB) (622 citations), and Plos ONE (619 citations) in the top-10 list of three journals, which highlighted the categories of rehabilitation and clinical neurology and neuroscience and neurology. Journal co-citation analysis is reported in Figure 4 , which clearly shows four distinct clusters.

FIGURE 4. Co-citation network of journals: the dimensions of the nodes represent centrality. Full list of official abbreviations of WoS journals can be found here: https://images.webofknowledge.com/images/help/WOS/A_abrvjt.html .

Network analysis was conducted to calculate and to represent the centrality index, i.e., the dimensions of the nodes in Figure 4 . The top-ranked item by centrality was Cyberpsychol BEHAV, with a centrality index of 0.29. The second-ranked item was Arch PHYS MED REHAB, with a centrality index of 0.23. The third was Behaviour Research and Therapy (Behav RES THER), with a centrality index of 0.15. The fourth was BRAIN, with a centrality index of 0.14. The fifth was Exp BRAIN RES, with a centrality index of 0.11.

Who’s Who in VR Research

Authors are the heart and brain of research, and their roles in a field are to define the past, present, and future of disciplines and to make significant breakthroughs to make new ideas arise (Figure 5 ).

FIGURE 5. Network of authors’ numbers of publications: the dimensions of the nodes represent the centrality index, and the dimensions of the characters represent the author’s rank.

Virtual reality research is very young and changing with time, but the top-10 authors in this field have made fundamentally significant contributions as pioneers in VR and taking it beyond a mere technological development. The purpose of the following highlights is not to rank researchers; rather, the purpose is to identify the most active researchers in order to understand where the field is going and how they plan for it to get there.

The top-ranked author is Riva G, with 180 publications. The second-ranked author is Rizzo A, with 101 publications. The third is Darzi A, with 97 publications. The forth is Aggarwal R, with 94 publications. The six authors following these three are Slater M, Alcaniz M, Botella C, Wiederhold BK, Kim SI, and Gutierrez-Maldonado J with 90, 90, 85, 75, 59, and 54 publications, respectively (Figure 6 ).

FIGURE 6. Authors’ co-citation network: the dimensions of the nodes represent centrality index, and the dimensions of the characters represent the author’s rank. The 10 authors that appear on the top-10 list are considered to be the pioneers of VR research.

Considering the last 5 years, the situation remains similar, with three new entries in the top-10 list, i.e., Muhlberger A, Cipresso P, and Ahmed K ranked 7th, 8th, and 10th, respectively.

The authors’ publications number network shows the most active authors in VR research. Another relevant analysis for our focus on VR research is to identify the most cited authors in the field.

For this purpose, the authors’ co-citation analysis highlights the authors in term of their impact on the literature considering the entire time span of the field ( White and Griffith, 1981 ; González-Teruel et al., 2015 ; Bu et al., 2016 ). The idea is to focus on the dynamic nature of the community of authors who contribute to the research.

Normally, authors with higher numbers of citations tend to be the scholars who drive the fundamental research and who make the most meaningful impacts on the evolution and development of the field. In the following, we identified the most-cited pioneers in the field of VR Research.

The top-ranked author by citation count is Gallagher (2001), with 694 citations. Second is Seymour (2004), with 668 citations. Third is Slater (1999), with 649 citations. Fourth is Grantcharov (2003), with 563 citations. Fifth is Riva (1999), with 546 citations. Sixth is Aggarwal (2006), with 505 citations. Seventh is Satava (1994), with 477 citations. Eighth is Witmer (2002), with 454 citations. Ninth is Rothbaum (1996), with 448 citations. Tenth is Cruz-neira (1995), with 416 citations.

Citation Network and Cluster Analyses for VR

Another analysis that can be used is the analysis of document co-citation, which allows us to focus on the highly-cited documents that generally are also the most influential in the domain ( Small, 1973 ; González-Teruel et al., 2015 ; Orosz et al., 2016 ).

The top-ranked article by citation counts is Seymour (2002) in Cluster #0, with 317 citations. The second article is Grantcharov (2004) in Cluster #0, with 286 citations. The third is Holden (2005) in Cluster #2, with 179 citations. The 4th is Gallagher et al. (2005) in Cluster #0, with 171 citations. The 5th is Ahlberg (2007) in Cluster #0, with 142 citations. The 6th is Parsons (2008) in Cluster #4, with 136 citations. The 7th is Powers (2008) in Cluster #4, with 134 citations. The 8th is Aggarwal (2007) in Cluster #0, with 121 citations. The 9th is Reznick (2006) in Cluster #0, with 121 citations. The 10th is Munz (2004) in Cluster #0, with 117 citations.

The network of document co-citations is visually complex (Figure 7 ) because it includes 1000s of articles and the links among them. However, this analysis is very important because can be used to identify the possible conglomerate of knowledge in the area, and this is essential for a deep understanding of the area. Thus, for this purpose, a cluster analysis was conducted ( Chen et al., 2010 ; González-Teruel et al., 2015 ; Klavans and Boyack, 2015 ). Figure 8 shows the clusters, which are identified with the two algorithms in Table 2 .

FIGURE 7. Network of document co-citations: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank, and the numbers represent the strengths of the links. It is possible to identify four historical phases (colors: blue, green, yellow, and red) from the past VR research to the current research.

FIGURE 8. Document co-citation network by cluster: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank and the red writing reports the name of the cluster with a short description that was produced with the mutual information algorithm; the clusters are identified with colored polygons.

TABLE 2. Cluster ID and silhouettes as identified with two algorithms ( Chen et al., 2010 ).

The identified clusters highlight clear parts of the literature of VR research, making clear and visible the interdisciplinary nature of this field. However, the dynamics to identify the past, present, and future of VR research cannot be clear yet. We analysed the relationships between these clusters and the temporal dimensions of each article. The results are synthesized in Figure 9 . It is clear that cluster #0 (laparoscopic skill), cluster #2 (gaming and rehabilitation), cluster #4 (therapy), and cluster #14 (surgery) are the most popular areas of VR research. (See Figure 9 and Table 2 to identify the clusters.) From Figure 9 , it also is possible to identify the first phase of laparoscopic skill (cluster #6) and therapy (cluster #7). More generally, it is possible to identify four historical phases (colors: blue, green, yellow, and red) from the past VR research to the current research.

FIGURE 9. Network of document co-citation: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank and the red writing on the right hand side reports the number of the cluster, such as in Table 2 , with a short description that was extracted accordingly.

We were able to identify the top 486 references that had the most citations by using burst citations algorithm. Citation burst is an indicator of a most active area of research. Citation burst is a detection of a burst event, which can last for multiple years as well as a single year. A citation burst provides evidence that a particular publication is associated with a surge of citations. The burst detection was based on Kleinberg’s algorithm ( Kleinberg, 2002 , 2003 ). The top-ranked document by bursts is Seymour (2002) in Cluster #0, with bursts of 88.93. The second is Grantcharov (2004) in Cluster #0, with bursts of 51.40. The third is Saposnik (2010) in Cluster #2, with bursts of 40.84. The fourth is Rothbaum (1995) in Cluster #7, with bursts of 38.94. The fifth is Holden (2005) in Cluster #2, with bursts of 37.52. The sixth is Scott (2000) in Cluster #0, with bursts of 33.39. The seventh is Saposnik (2011) in Cluster #2, with bursts of 33.33. The eighth is Burdea et al. (1996) in Cluster #3, with bursts of 32.42. The ninth is Burdea and Coiffet (2003) in Cluster #22, with bursts of 31.30. The 10th is Taffinder (1998) in Cluster #6, with bursts of 30.96 (Table 3 ).

TABLE 3. Cluster ID and references of burst article.

Citation Network and Cluster Analyses for AR

Looking at Augmented Reality scenario, the top ranked item by citation counts is Azuma (1997) in Cluster #0, with citation counts of 231. The second one is Azuma et al. (2001) in Cluster #0, with citation counts of 220. The third is Van Krevelen (2010) in Cluster #5, with citation counts of 207. The 4th is Lowe (2004) in Cluster #1, with citation counts of 157. The 5th is Wu (2013) in Cluster #4, with citation counts of 144. The 6th is Dunleavy (2009) in Cluster #4, with citation counts of 122. The 7th is Zhou (2008) in Cluster #5, with citation counts of 118. The 8th is Bay (2008) in Cluster #1, with citation counts of 117. The 9th is Newcombe (2011) in Cluster #1, with citation counts of 109. The 10th is Carmigniani et al. (2011) in Cluster #5, with citation counts of 104.

The network of document co-citations is visually complex (Figure 10 ) because it includes 1000s of articles and the links among them. However, this analysis is very important because can be used to identify the possible conglomerate of knowledge in the area, and this is essential for a deep understanding of the area. Thus, for this purpose, a cluster analysis was conducted ( Chen et al., 2010 ; González-Teruel et al., 2015 ; Klavans and Boyack, 2015 ). Figure 11 shows the clusters, which are identified with the two algorithms in Table 3 .

FIGURE 10. Network of document co-citations: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank, and the numbers represent the strengths of the links. It is possible to identify four historical phases (colors: blue, green, yellow, and red) from the past AR research to the current research.

FIGURE 11. Document co-citation network by cluster: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank and the red writing reports the name of the cluster with a short description that was produced with the mutual information algorithm; the clusters are identified with colored polygons.

The identified clusters highlight clear parts of the literature of AR research, making clear and visible the interdisciplinary nature of this field. However, the dynamics to identify the past, present, and future of AR research cannot be clear yet. We analysed the relationships between these clusters and the temporal dimensions of each article. The results are synthesized in Figure 12 . It is clear that cluster #1 (tracking), cluster #4 (education), and cluster #5 (virtual city environment) are the current areas of AR research. (See Figure 12 and Table 3 to identify the clusters.) It is possible to identify four historical phases (colors: blue, green, yellow, and red) from the past AR research to the current research.

FIGURE 12. Network of document co-citation: the dimensions of the nodes represent centrality, the dimensions of the characters represent the rank of the article rank and the red writing on the right hand side reports the number of the cluster, such as in Table 2 , with a short description that was extracted accordingly.

We were able to identify the top 394 references that had the most citations by using burst citations algorithm. Citation burst is an indicator of a most active area of research. Citation burst is a detection of a burst event, which can last for multiple years as well as a single year. A citation burst provides evidence that a particular publication is associated with a surge of citations. The burst detection was based on Kleinberg’s algorithm ( Kleinberg, 2002 , 2003 ). The top ranked document by bursts is Azuma (1997) in Cluster #0, with bursts of 101.64. The second one is Azuma et al. (2001) in Cluster #0, with bursts of 84.23. The third is Lowe (2004) in Cluster #1, with bursts of 64.07. The 4th is Van Krevelen (2010) in Cluster #5, with bursts of 50.99. The 5th is Wu (2013) in Cluster #4, with bursts of 47.23. The 6th is Hartley (2000) in Cluster #0, with bursts of 37.71. The 7th is Dunleavy (2009) in Cluster #4, with bursts of 33.22. The 8th is Kato (1999) in Cluster #0, with bursts of 32.16. The 9th is Newcombe (2011) in Cluster #1, with bursts of 29.72. The 10th is Feiner (1993) in Cluster #8, with bursts of 29.46 (Table 4 ).

TABLE 4. Cluster ID and silhouettes as identified with two algorithms ( Chen et al., 2010 ).

Our findings have profound implications for two reasons. At first the present work highlighted the evolution and development of VR and AR research and provided a clear perspective based on solid data and computational analyses. Secondly our findings on VR made it profoundly clear that the clinical dimension is one of the most investigated ever and seems to increase in quantitative and qualitative aspects, but also include technological development and article in computer science, engineer, and allied sciences.

Figure 9 clarifies the past, present, and future of VR research. The outset of VR research brought a clearly-identifiable development in interfaces for children and medicine, routine use and behavioral-assessment, special effects, systems perspectives, and tutorials. This pioneering era evolved in the period that we can identify as the development era, because it was the period in which VR was used in experiments associated with new technological impulses. Not surprisingly, this was exactly concomitant with the new economy era in which significant investments were made in information technology, and it also was the era of the so-called ‘dot-com bubble’ in the late 1990s. The confluence of pioneering techniques into ergonomic studies within this development era was used to develop the first effective clinical systems for surgery, telemedicine, human spatial navigation, and the first phase of the development of therapy and laparoscopic skills. With the new millennium, VR research switched strongly toward what we can call the clinical-VR era, with its strong emphasis on rehabilitation, neurosurgery, and a new phase of therapy and laparoscopic skills. The number of applications and articles that have been published in the last 5 years are in line with the new technological development that we are experiencing at the hardware level, for example, with so many new, HMDs, and at the software level with an increasing number of independent programmers and VR communities.

Finally, Figure 12 identifies clusters of the literature of AR research, making clear and visible the interdisciplinary nature of this field. The dynamics to identify the past, present, and future of AR research cannot be clear yet, but analyzing the relationships between these clusters and the temporal dimensions of each article tracking, education, and virtual city environment are the current areas of AR research. AR is a new technology that is showing its efficacy in different research fields, and providing a novel way to gather behavioral data and support learning, training, and clinical treatments.

Looking at scientific literature conducted in the last few years, it might appear that most developments in VR and AR studies have focused on clinical aspects. However, the reality is more complex; thus, this perception should be clarified. Although researchers publish studies on the use of VR in clinical settings, each study depends on the technologies available. Industrial development in VR and AR changed a lot in the last 10 years. In the past, the development involved mainly hardware solutions while nowadays, the main efforts pertain to the software when developing virtual solutions. Hardware became a commodity that is often available at low cost. On the other hand, software needs to be customized each time, per each experiment, and this requires huge efforts in term of development. Researchers in AR and VR today need to be able to adapt software in their labs.

Virtual reality and AR developments in this new clinical era rely on computer science and vice versa. The future of VR and AR is becoming more technological than before, and each day, new solutions and products are coming to the market. Both from software and hardware perspectives, the future of AR and VR depends on huge innovations in all fields. The gap between the past and the future of AR and VR research is about the “realism” that was the key aspect in the past versus the “interaction” that is the key aspect now. First 30 years of VR and AR consisted of a continuous research on better resolution and improved perception. Now, researchers already achieved a great resolution and need to focus on making the VR as realistic as possible, which is not simple. In fact, a real experience implies a realistic interaction and not just great resolution. Interactions can be improved in infinite ways through new developments at hardware and software levels.

Interaction in AR and VR is going to be “embodied,” with implication for neuroscientists that are thinking about new solutions to be implemented into the current systems ( Blanke et al., 2015 ; Riva, 2018 ; Riva et al., 2018 ). For example, the use of hands with contactless device (i.e., without gloves) makes the interaction in virtual environments more natural. The Leap Motion device 1 allows one to use of hands in VR without the use of gloves or markers. This simple and low-cost device allows the VR users to interact with virtual objects and related environments in a naturalistic way. When technology is able to be transparent, users can experience increased sense of being in the virtual environments (the so-called sense of presence).

Other forms of interactions are possible and have been developing continuously. For example, tactile and haptic device able to provide a continuous feedback to the users, intensifying their experience also by adding components, such as the feeling of touch and the physical weight of virtual objects, by using force feedback. Another technology available at low cost that facilitates interaction is the motion tracking system, such as Microsoft Kinect, for example. Such technology allows one to track the users’ bodies, allowing them to interact with the virtual environments using body movements, gestures, and interactions. Most HMDs use an embedded system to track HMD position and rotation as well as controllers that are generally placed into the user’s hands. This tracking allows a great degree of interaction and improves the overall virtual experience.

A final emerging approach is the use of digital technologies to simulate not only the external world but also the internal bodily signals ( Azevedo et al., 2017 ; Riva et al., 2017 ): interoception, proprioception and vestibular input. For example, Riva et al. (2017) recently introduced the concept of “sonoception” ( www.sonoception.com ), a novel non-invasive technological paradigm based on wearable acoustic and vibrotactile transducers able to alter internal bodily signals. This approach allowed the development of an interoceptive stimulator that is both able to assess interoceptive time perception in clinical patients ( Di Lernia et al., 2018b ) and to enhance heart rate variability (the short-term vagally mediated component—rMSSD) through the modulation of the subjects’ parasympathetic system ( Di Lernia et al., 2018a ).

In this scenario, it is clear that the future of VR and AR research is not just in clinical applications, although the implications for the patients are huge. The continuous development of VR and AR technologies is the result of research in computer science, engineering, and allied sciences. The reasons for which from our analyses emerged a “clinical era” are threefold. First, all clinical research on VR and AR includes also technological developments, and new technological discoveries are being published in clinical or technological journals but with clinical samples as main subject. As noted in our research, main journals that publish numerous articles on technological developments tested with both healthy and patients include Presence: Teleoperators & Virtual Environments, Cyberpsychology & Behavior (Cyberpsychol BEHAV), and IEEE Computer Graphics and Applications (IEEE Comput Graph). It is clear that researchers in psychology, neuroscience, medicine, and behavioral sciences in general have been investigating whether the technological developments of VR and AR are effective for users, indicating that clinical behavioral research has been incorporating large parts of computer science and engineering. A second aspect to consider is the industrial development. In fact, once a new technology is envisioned and created it goes for a patent application. Once the patent is sent for registration the new technology may be made available for the market, and eventually for journal submission and publication. Moreover, most VR and AR research that that proposes the development of a technology moves directly from the presenting prototype to receiving the patent and introducing it to the market without publishing the findings in scientific paper. Hence, it is clear that if a new technology has been developed for industrial market or consumer, but not for clinical purpose, the research conducted to develop such technology may never be published in a scientific paper. Although our manuscript considered published researches, we have to acknowledge the existence of several researches that have not been published at all. The third reason for which our analyses highlighted a “clinical era” is that several articles on VR and AR have been considered within the Web of Knowledge database, that is our source of references. In this article, we referred to “research” as the one in the database considered. Of course, this is a limitation of our study, since there are several other databases that are of big value in the scientific community, such as IEEE Xplore Digital Library, ACM Digital Library, and many others. Generally, the most important articles in journals published in these databases are also included in the Web of Knowledge database; hence, we are convinced that our study considered the top-level publications in computer science or engineering. Accordingly, we believe that this limitation can be overcome by considering the large number of articles referenced in our research.

Considering all these aspects, it is clear that clinical applications, behavioral aspects, and technological developments in VR and AR research are parts of a more complex situation compared to the old platforms used before the huge diffusion of HMD and solutions. We think that this work might provide a clearer vision for stakeholders, providing evidence of the current research frontiers and the challenges that are expected in the future, highlighting all the connections and implications of the research in several fields, such as clinical, behavioral, industrial, entertainment, educational, and many others.

Author Contributions

PC and GR conceived the idea. PC made data extraction and the computational analyses and wrote the first draft of the article. IG revised the introduction adding important information for the article. PC, IG, MR, and GR revised the article and approved the last version of the article after important input to the article rationale.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer GC declared a shared affiliation, with no collaboration, with the authors PC and GR to the handling Editor at the time of the review.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.02086/full#supplementary-material

^ https://www.leapmotion.com/

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Keywords : virtual reality, augmented reality, quantitative psychology, measurement, psychometrics, scientometrics, computational psychometrics, mathematical psychology

Citation: Cipresso P, Giglioli IAC, Raya MA and Riva G (2018) The Past, Present, and Future of Virtual and Augmented Reality Research: A Network and Cluster Analysis of the Literature. Front. Psychol. 9:2086. doi: 10.3389/fpsyg.2018.02086

Received: 14 December 2017; Accepted: 10 October 2018; Published: 06 November 2018.

Reviewed by:

Copyright © 2018 Cipresso, Giglioli, Raya and Riva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Pietro Cipresso, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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The Future Of Virtual Reality

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ORIGINAL RESEARCH article

Introduction

Virtual Reality Concepts and Features

From Virtual to Augmented Reality

Virtual Reality Technologies

Virtual Reality Applications

Augmented Reality Concept

Augmented Reality Technologies

Augmented Reality Applications

Materials and Methods

Who’s Who in VR Research

Citation Network and Cluster Analyses for VR

Citation Network and Cluster Analyses for AR

Author Contributions

Conflict of Interest Statement

Supplementary Material

The Future Of Virtual Reality

Direction of research in virtual reality

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