Submitted:
12 September 2024
Posted:
14 September 2024
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Abstract
Keywords:
1. Introduction: Theoretical Foundations of the Extended Mind and Embodiment
1.1. The Extended Mind in the Context of the Metaverse
1.2. Virtual Tools as Cognitive Extensions
1.3. Embodied Experiences in the Metaverse
1.3.1. The Role of Illusions in Embodied Experiences
- Placement Illusions: The first illusion is the placement illusion, which refers to the sense that the user’s body and consciousness are physically present within the virtual environment. This illusion is critical in fostering immersion, making users feel as though they have truly entered the virtual world. Placement illusions occur when the virtual environment is responsive to the user’s movements and actions in real time, enhancing the feeling of physical presence. For example, when a user reaches out to touch a virtual object, the virtual environment responds in ways that make the action feel natural and aligned with the user’s expectations, creating a convincing sense of being "placed" in the virtual space [20]. Research shows that when placement illusions are strong, users exhibit behavioral and cognitive changes that reflect the same patterns they would display in the real world, reinforcing the integration of the virtual environment into their cognitive processes [5].
- Plausibility Illusions: The second critical illusion is the plausibility illusion, which refers to the degree to which the virtual environment behaves in a believable and coherent manner. For users to feel fully immersed and embodied in the metaverse, the virtual world must respond to their actions in ways that are plausible within the context of the virtual environment. This illusion is vital for maintaining a user’s sense of presence, as it ensures that the virtual world behaves in a way that matches their expectations. For instance, if a user interacts with a virtual object, the object should behave as expected based on its virtual properties—if a virtual glass of water is knocked over, the water should spill accordingly. When plausibility illusions are disrupted (e.g., when virtual objects behave in an unnatural or unexpected manner), it breaks the user’s immersion and diminishes the sense of embodiment [21].
- Embodiment Illusions: The third type, the embodiment illusion, directly concerns the user’s avatar in the virtual world. This illusion refers to the experience of "owning" the virtual body as if it were the user’s own. The avatar is not just a representation on a screen but becomes integrated into the user’s sense of self, such that movements of the virtual body feel as though they are the user’s own physical movements. This phenomenon is particularly evident when users perform motor tasks in the metaverse, such as reaching, grasping, or walking. Embodied cognition theories suggest that the ability to interact with and control a virtual body can lead to changes in how users perceive themselves and others, influencing cognitive functions such as social interaction, empathy, and self-awareness [17,19]. The stronger the embodiment illusion, the more users treat their virtual body as if it were their real one, leading to more naturalistic behaviors and thought processes in the virtual world [20,21].
- Time Illusions: Lastly, time illusions refer to the altered perception of time that users experience within immersive environments. In the metaverse, time may appear to pass more quickly or slowly depending on the user’s level of engagement and the design of the virtual experience. Time illusions occur when the user becomes so absorbed in the virtual world that they lose track of time in the real world. This illusion is particularly important in environments designed for extended interaction, such as educational simulations, where prolonged engagement is desirable. The perception of time can be manipulated through the use of fast-paced tasks, slow-motion effects, or carefully timed feedback to either accelerate or decelerate the user’s sense of time [22]. Time illusions highlight the extent to which the metaverse can alter fundamental aspects of cognition, including attention and decision-making, by reshaping how users experience the passage of time.
1.3.2. Embodied Cognition and the Metaverse
1.4. Implications and Future Directions
2. The Virtual Continuum: XR, AR, VR, and MR in Extended Realities
2.1. Virtual Reality in the Virtual Continuum
2.2. Augmented Reality (AR) in the Virtual Continuum
2.3. Mixed Reality (MR) in the Virtual Continuum
2.4. Extended Reality (XR): The Integration of AR, VR, and MR
3. Multiple Modalities in XR: Enhancing Immersion in the Metaverse
3.1. Eye-Tracking: Precision and Cognitive Insights
3.2. Facial Tracking: Enhancing Emotional and Social Presence
3.3. Finger and Hand Tracking: Intuitive Manipulation of Virtual Objects
3.4. Full-Body Tracking: Immersive Embodiment and Physicality
3.5. Haptic Feedback: Bringing Touch to the Virtual World
3.6. Galvanic Skin Response (GSR): Monitoring Emotional States
3.7. Heart Rate Monitoring: Tracking Physiological Engagement
3.8. Electroencephalogram (EEG): Brain-Computer Interfaces and Cognitive Control
4. XR Applications: Expanding Multimodal Interactions across Domains
4.1. Clinical Applications: Therapy, Neuropsychological Assessment, and Rehabilitation
4.1.1. Therapy
4.1.2. Neuropsychological Assessment
4.1.3. Rehabilitation
4.1.4. Pain Management
4.2. Educational Applications: Engaging Learning Through XR
4.2.1. STEM Education
4.2.2. History and Humanities
4.2.3. Multimodal Learning
4.2.4. Language Learning
4.2.5. Special Education
4.3. Professional Training and Skill Development
4.3.1. Medical Training
4.3.2. Emergency Response
4.3.3. Manufacturing and Engineering
4.3.4. Aviation Training
4.3.5. Corporate and Soft Skills Training
4.3.6. Military and Defense
4.4. Arts and Entertainment: Immersive and Interactive Creativity
4.5. Public Health and Safety Training
4.5.1. Disaster Preparedness
4.5.2. Public Health Campaigns
4.5.3. Workplace Safety and Compliance
4.6. Retail and E-Commerce
4.6.1. Virtual Shopping
4.6.2. Product Customization
4.6.3. Enhanced Customer Insights
4.7. Architecture and Urban Planning
4.7.1. Virtual Walkthroughs
4.7.2. Collaborative Design
4.7.3. Infrastructure and Sustainability Planning
4.7.1. Safety and Risk Assessment
4.8. Agriculture and Environmental Monitoring
4.8.1. Agriculture Training
4.8.2. Environmental Simulations
4.8.3. Precision Agriculture and Monitoring
4.8.4. Conservation and Ecosystem Management
4.9. Sports Training and Performance Analysis
4.9.1. Skill Development
4.9.2. Mental Training
4.9.3. Performance Analysis
4.10. Remote Work and Virtual Offices
4.10.1. Virtual Meetings
4.10.2. Remote Collaboration
4.10.3. Training and Onboarding
4.10.4. Future of Remote Work with XR
4.11. Museums and Cultural Heritage Preservation
4.11.1. Virtual Museums
4.11.2. Cultural Heritage Preservation
4.11.3. Multimodal Engagement in Museums
5. Potential Risks and Ethical Challenges of XR and the Metaverse
5.1. Cybersickness
5.1.1. Prevalence and Contributing Factors
5.1.2. Technological and Design Solutions
5.2. Addiction
5.2.1. Mitigation Strategies
5.3. Cyber Harassment and Cyberbullying
5.3.1. Virtual Harassment and Emotional Distress
5.3.2. Increased Aggression Due to Avatar Anonymity
5.3.3. Amplified Bullying Impact Through Multimodal Feedback
5.3.4. Challenges in Moderating XR Spaces
5.3.5. Psychological and Social Consequences
5.3.6. Real-Time Monitoring and Reporting Systems
5.3.7. Establishing Clear Codes of Conduct
5.3.8. Personal Boundaries and Safety Features
5.3.9. Collaboration between Stakeholders
5.4. Data Privacy and Security Risks
5.4.1. Biometric Data Vulnerabilities
5.4.2. Behavioral Data Collection and Profiling
5.4.3. Cognitive and Affective Data Exploitation
5.4.4. Hacking and Security Breaches
5.4.5. Surveillance and Data Misuse by Corporations
5.4.6. Transparent Data Policies and User Consent
5.4.7. Enhanced Data Encryption and Security Protocols
5.4.8. Ethical Guidelines for Data Use
5.4.9. International Collaboration for Data Privacy
5.5. Intense Advertising and Commercial Exploitation
5.5.1. Hyper-Targeted and Manipulative Advertising
5.5.2. Commercial Exploitation of Personal Data
5.5.3. Over-Commercialization and "Ad Fatigue"
5.5.4. Mitigation Strategies for Ethical Advertising
5.6. Manipulation of Public Opinion and Information
5.6.1. False Realities and Misinformation
5.6.2. Influence on Behavior
5.6.3. Deepfake Avatars and AI-Generated Content
5.6.4. Improving Media Literacy and Critical Thinking Skills
5.6.5. Authentication of Avatars and Content
5.6.6. Regulation and Collaboration
5.7. Physical Health Concerns
5.7.1. Eye Strain and Vision Problems
5.7.2. Musculoskeletal Problems
5.7.3. Sedentary Lifestyle and Physical Inactivity
5.7.4. Breaks and Screen Time Management
5.7.5. Ergonomic Design and Physical Support
5.7.6. Promoting Physical Activity in XR
5.8. Digital Divide and Inequality
5.8.1. Economic Barriers
5.8.2. Access to Education and Healthcare
5.8.3. Impact on Workforce Development
5.8.4. Reducing Cost Barriers
5.8.5. Improving Infrastructure Access
5.8.6. Public Access and Community Programs
5.8.7. Policy and Regulatory Interventions
5.8.8. Encouraging Inclusive Design
5.8. Psychological Detachment and Dissociation
5.8.1. Reality Confusion
5.8.2. Depersonalization and Dissociation
5.8.3. Limiting Exposure Time
5.8.4. Grounding Techniques
5.8.5. Informed Usage Guidelines
5.8.6. Monitoring and Psychological Support
5.9. Regulatory Challenges and Governance
5.9.1. Lack of Regulation
5.9.2. Jurisdictional Issues
5.9.3. Content Moderation
5.9.4. Intellectual Property Concerns
5.9.5. International Legal Frameworks and Collaboration
5.9.6. Advanced AI for Content Moderation
5.9.7. Decentralized Governance with Accountability
5.9.8. Strengthening IP Laws for the Metaverse
6. General Discussion
6.1. The Role of XR in Cognitive Extension: Expanding the Human Mind
6.1.1. From Cognitive Offloading to Cognitive Augmentation
6.1.2. Embodied Cognition and Virtual Bodies
6.2. Applications of XR in Real-World Contexts
6.2.1. Education and Training
6.2.2. Healthcare
6.2.3. Professional and Industrial Training
6.2.4. Entertainment and Cultural Heritage
6.3. Ethical and Psychological Implications of XR
6.3.1. Privacy, Surveillance, and Data Ethics
6.3.2. Psychological and Behavioral Impacts
6.4. Societal and Technological Impacts: Bridging Realities and Digital Inequality
6.4.1. Digital Divide and Access
6.4.2. Future Integration with Artificial Intelligence (AI)
7. Conclusion
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Kandel, E.R.; Squire, L.R. Neuroscience: Breaking Down Scientific Barriers to the Study of Brain and Mind. Science 2000, 290, 1113–1120. [Google Scholar] [CrossRef] [PubMed]
- Kandel, E.R.; Schwartz, J.H.; Jessell, T.M.; Siegelbaum, S.A.; Hudspeth, A.J. Principles of Neural Science, Fifth Edition; McGraw-Hill’s AccessMedicine; McGraw-Hill Education, 2013; ISBN 978-0-07-139011-8.
- Clark, A.; Chalmers, D. The Extended Mind. Analysis 1998, 58, 7–19. [Google Scholar] [CrossRef]
- Wilson, R.A. Boundaries of the Mind: The Individual in the Fragile Sciences - Cognition; Cambridge University Press: Cambridge, 2004; ISBN 978-0-521-83645-6. [Google Scholar]
- Slater, M.; Sanchez-Vives, M.V. Enhancing Our Lives with Immersive Virtual Reality. Front. Robot. AI 2016, 3. [Google Scholar] [CrossRef]
- Mania, K.; Chalmers, A. The Effects of Levels of Immersion on Memory and Presence in Virtual Environments: A Reality Centered Approach. Cyberpsychol. Behav. 2001, 4, 247–264. [Google Scholar] [CrossRef] [PubMed]
- Vogeley, K.; Bente, G. “Artificial Humans”: Psychology and Neuroscience Perspectives on Embodiment and Nonverbal Communication. Soc. Cogn. Babies Robots 2010, 23, 1077–1090. [Google Scholar] [CrossRef]
- Argelaguet, F.; Hoyet, L.; Trico, M.; Lecuyer, A. The Role of Interaction in Virtual Embodiment: Effects of the Virtual Hand Representation. In Proceedings of the 2016 IEEE Virtual Reality (VR); 2016; pp. 3–10. [Google Scholar]
- Kourtesis, P.; Argelaguet, F.; Vizcay, S.; Marchal, M.; Pacchierotti, C. Electrotactile Feedback Applications for Hand and Arm Interactions: A Systematic Review, Meta-Analysis, and Future Directions. IEEE Trans. Haptics 2022, 15, 479–496. [Google Scholar] [CrossRef]
- Lécuyer, A. Simulating Haptic Feedback Using Vision: A Survey of Research and Applications of Pseudo-Haptic Feedback. Presence Teleoperators Virtual Environ. 2009, 18, 39–53. [Google Scholar] [CrossRef]
- Lécuyer, A.; Burkhardt, J.-M.; Etienne, L. Feeling Bumps and Holes without a Haptic Interface: The Perception of Pseudo-Haptic Textures. In Proceedings of the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Association for Computing Machinery: New York, NY, USA, 2004; pp. 239–246. [Google Scholar]
- Lebedev, M.A.; Nicolelis, M.A.L. Brain–Machine Interfaces: Past, Present and Future. Trends Neurosci. 2006, 29, 536–546. [Google Scholar] [CrossRef] [PubMed]
- Dede, C. Immersive Interfaces for Engagement and Learning. Science 2009, 323, 66–69. [Google Scholar] [CrossRef]
- Vizcay, S.; Kourtesis, P.; Argelaguet, F.; Pacchierotti, C.; Marchal, M. Electrotactile Feedback For Enhancing Contact Information in Virtual Reality – Best Paper Award. In Proceedings of the ICAT-EGVE 2021 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments; Orlosky, J., Reiners, D., Weyers, B., Eds.; The Eurographics Association; 2021. [Google Scholar]
- Vizcay, S.; Kourtesis, P.; Argelaguet, F.; Pacchierotti, C.; Marchal, M. Design, Evaluation and Calibration of Wearable Electrotacile Interfaces for Enhancing Contact Information in Virtual Reality. Comput. Graph. 2023. [Google Scholar] [CrossRef]
- Loomis, J.M.; Blascovich, J.J.; Beall, A.C. Immersive Virtual Environment Technology as a Basic Research Tool in Psychology. Behav. Res. Methods Instrum. Comput. 1999, 31, 557–564. [Google Scholar] [CrossRef] [PubMed]
- Gonzalez-Franco, M.; Lanier, J. Model of Illusions and Virtual Reality. Front. Psychol. 2017, 8, 1125. [Google Scholar] [CrossRef] [PubMed]
- Kourtesis, P.; Korre, D.; Collina, S.; Doumas, L.A.A.; MacPherson, S.E. Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL), a Neuropsychological Test Battery in Immersive Virtual Reality. Front. Comput. Sci. 2020, 1. [Google Scholar] [CrossRef]
- Maister, L.; Slater, M.; Sanchez-Vives, M.V.; Tsakiris, M. Changing Bodies Changes Minds: Owning Another Body Affects Social Cognition. Trends Cogn. Sci. 2015, 19, 6–12. [Google Scholar] [CrossRef] [PubMed]
- Slater, M. Immersion and the Illusion of Presence in Virtual Reality. Br. J. Psychol. 2018, 109, 431–433. [Google Scholar] [CrossRef] [PubMed]
- Slater, M. Place Illusion and Plausibility Can Lead to Realistic Behaviour in Immersive Virtual Environments. Philos. Trans. R. Soc. B Biol. Sci. 2009, 364, 3549–3557. [Google Scholar] [CrossRef]
- Schubert, T.; Friedmann, F.; Regenbrecht, H. The Experience of Presence: Factor Analytic Insights. Presence Teleoperators Virtual Environ. 2001, 10, 266–281. [Google Scholar] [CrossRef]
- Milgram, P.; Kishino, F. A Taxonomy of Mixed Reality Visual Displays. IEICE Trans. Inf. Syst. 1994, 77, 1321–1329. [Google Scholar]
- Makransky, G.; Lilleholt, L. A Structural Equation Modeling Investigation of the Emotional Value of Immersive Virtual Reality in Education. Educ. Technol. Res. Dev. 2018, 66, 1141–1164. [Google Scholar] [CrossRef]
- Merchant, Z.; Goetz, E.T.; Cifuentes, L.; Keeney-Kennicutt, W.; Davis, T.J. Effectiveness of Virtual Reality-Based Instruction on Students’ Learning Outcomes in K-12 and Higher Education: A Meta-Analysis. Comput. Educ. 2014, 70, 29–40. [Google Scholar] [CrossRef]
- Riva, G.; Wiederhold, B.K.; Mantovani, F. Neuroscience of Virtual Reality: From Virtual Exposure to Embodied Medicine. Cyberpsychology Behav. Soc. Netw. 2019, 22, 82–96. [Google Scholar] [CrossRef]
- Guger, C.; Ramoser, H.; Pfurtscheller, G. Real-Time EEG Analysis with Subject-Specific Spatial Patterns for a Brain-Computer Interface (BCI). IEEE Trans. Rehabil. Eng. 2000, 8, 447–456. [Google Scholar] [CrossRef] [PubMed]
- Guger, C.; Edlinger, G.; Harkam, W.; Niedermayer, I.; Pfurtscheller, G. How Many People Are Able to Operate an EEG-Based Brain-Computer Interface (BCI)? IEEE Trans. Neural Syst. Rehabil. Eng. 2003, 11, 145–147. [Google Scholar] [CrossRef]
- Billinghurst, M.; Clark, A.; Lee, G. A Survey of Augmented Reality. Found. Trends® Human–Computer Interact. 2015, 8, 73–272. [Google Scholar] [CrossRef]
- Barsom, E.Z.; Graafland, M.; Schijven, M.P. Systematic Review on the Effectiveness of Augmented Reality Applications in Medical Training. Surg. Endosc. 2016, 30, 4174–4183. [Google Scholar] [CrossRef] [PubMed]
- Azuma, R.T. A Survey of Augmented Reality. Presence Teleoperators Virtual Environ. 1997, 6, 355–385. [Google Scholar] [CrossRef]
- Flavián, C.; Ibáñez-Sánchez, S.; Orús, C. The Impact of Virtual, Augmented and Mixed Reality Technologies on the Customer Experience. J. Bus. Res. 2019, 100, 547–560. [Google Scholar] [CrossRef]
- Osorto Carrasco, M.D.; Chen, P.-H. Application of Mixed Reality for Improving Architectural Design Comprehension Effectiveness. Autom. Constr. 2021, 126, 103677. [Google Scholar] [CrossRef]
- Moro, C.; Štromberga, Z.; Raikos, A.; Stirling, A. The Effectiveness of Virtual and Augmented Reality in Health Sciences and Medical Anatomy. Anat. Sci. Educ. 2017, 10, 549–559. [Google Scholar] [CrossRef]
- Kaufmann, H.; Schmalstieg, D. Mathematics and Geometry Education with Collaborative Augmented Reality. Comput. Graph. 2003, 27, 339–345. [Google Scholar] [CrossRef]
- Chiossi, F.; Mayer, S. How Can Mixed Reality Benefit From Physiologically-Adaptive Systems? Challenges and Opportunities for Human Factors Applications 2023.
- Islam, R.; Desai, K.; Quarles, J. Cybersickness Prediction from Integrated HMD’s Sensors: A Multimodal Deep Fusion Approach Using Eye-Tracking and Head-Tracking Data. In Proceedings of the 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR); 2021; pp. 31–40. [Google Scholar]
- Kirsh, D. Embodied Cognition and the Magical Future of Interaction Design. ACM Trans Comput-Hum Interact 2013, 20. [Google Scholar] [CrossRef]
- Bailenson, J. Experience on Demand : What Virtual Reality Is, How It Works, and What It Can Do; W.W. Norton & Company, Inc.: New York, NY, 2018; ISBN 978-0-393-25370-2. [Google Scholar]
- Nagy, P.; Koles, B. The Digital Transformation of Human Identity: Towards a Conceptual Model of Virtual Identity in Virtual Worlds. Convergence 2014, 20, 276–292. [Google Scholar] [CrossRef]
- Duchowski, A.T. Eye Tracking Methodology; Springer International Publishing: Cham, 2017; ISBN 978-3-319-57881-1. [Google Scholar]
- Kourtesis, P.; Amir, R.; Linnell, J.; Argelaguet, F.; MacPherson, S.E. Cybersickness, Cognition, & Motor Skills: The Effects of Music, Gender, and Gaming Experience. IEEE Trans. Vis. Comput. Graph. 2023, 29, 2326–2336. [Google Scholar] [CrossRef]
- Kourtesis, P.; Papadopoulou, A.; Roussos, P. Cybersickness in Virtual Reality: The Role of Individual Differences, Its Effects on Cognitive Functions and Motor Skills, and Intensity Differences during and after Immersion. Virtual Worlds 2024, 3, 62–93. [Google Scholar] [CrossRef]
- Marshall, S.P. Identifying Cognitive State from Eye Metrics. Aviat. Space Environ. Med. 2007, 78, B165–B175. [Google Scholar] [PubMed]
- Giatzoglou, E.; Vorias, P.; Kemm, R.; Karayianni, I.; Roussou, M.; Kourtesis, P. The Trail-Making-Test in Virtual Reality (TMT-VR): The Effects of Interaction Modes and Gaming Skills on Cognitive Performance of Young Adults. Preprints 2024. [Google Scholar] [CrossRef]
- Adhanom, I.B.; MacNeilage, P.; Folmer, E. Eye Tracking in Virtual Reality: A Broad Review of Applications and Challenges. Virtual Real. 2023, 27, 1481–1505. [Google Scholar] [CrossRef]
- Zhang, Z.; Fort, J.M.; Giménez Mateu, L. Facial Expression Recognition in Virtual Reality Environments: Challenges and Opportunities. Front. Psychol. 2023, 14. [Google Scholar] [CrossRef] [PubMed]
- Blascovich, J.; Bailenson, J. Infinite Reality: Avatars, Eternal Life, New Worlds, and the Dawn of the Virtual Revolution; William Morrow & Co, 2011; ISBN 0-06-180950-0.
- Kennedy, D.P.; Adolphs, R. Perception of Emotions from Facial Expressions in High-Functioning Adults with Autism. Neuropsychologia 2012, 50, 3313–3319. [Google Scholar] [CrossRef] [PubMed]
- Piumsomboon, T.; Lee, G.; Lindeman, R.W.; Billinghurst, M. Exploring Natural Eye-Gaze-Based Interaction for Immersive Virtual Reality. In Proceedings of the 2017 IEEE Symposium on 3D User Interfaces (3DUI); March 18 2017; pp. 36–39. [Google Scholar]
- Bai, H.; Lee, G.A.; Ramakrishnan, M.; Billinghurst, M. 3D Gesture Interaction for Handheld Augmented Reality. In Proceedings of the SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications; Association for Computing Machinery: New York, NY, USA; 2014. [Google Scholar]
- Wang, D.; Guo, Y.; Liu, S.; Zhang, Y.; Xu, W.; Xiao, J. Haptic Display for Virtual Reality: Progress and Challenges. Haptic Interact. 2019, 1, 136–162. [Google Scholar] [CrossRef]
- Kreimeier, J.; Hammer, S.; Friedmann, D.; Karg, P.; Bühner, C.; Bankel, L.; Götzelmann, T. Evaluation of Different Types of Haptic Feedback Influencing the Task-Based Presence and Performance in Virtual Reality. In Proceedings of the Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments; Association for Computing Machinery: New York, NY, USA, 2019; pp. 289–298. [Google Scholar]
- Chen, Y.; Tsai, M.-J. Eye-Hand Coordination Strategies during Active Video Game Playing: An Eye-Tracking Study. Comput. Hum. Behav. 2015, 51, 8–14. [Google Scholar] [CrossRef]
- Kilteni, K.; Bergstrom, I.; Slater, M. Drumming in Immersive Virtual Reality: The Body Shapes the Way We Play. IEEE Trans. Vis. Comput. Graph. 2013, 19, 597–605. [Google Scholar] [CrossRef] [PubMed]
- Waltemate, T.; Gall, D.; Roth, D.; Botsch, M.; Latoschik, M.E. The Impact of Avatar Personalization and Immersion on Virtual Body Ownership, Presence, and Emotional Response. IEEE Trans. Vis. Comput. Graph. 2018, 24, 1643–1652. [Google Scholar] [CrossRef] [PubMed]
- Pan, C.Y.; Frey, G.C.; Chuang, T.Y. The Impact of Physical Activity Intervention on Improving Cognition and Motor Skills in Individuals with Autism Spectrum Disorder: A Systematic Review. Autism Res. 2015, 8, 376–390. [Google Scholar] [CrossRef]
- Pan, X.; Hamilton, A.F. de C. Why and How to Use Virtual Reality to Study Human Social Interaction: The Challenges of Exploring a New Research Landscape. Br. J. Psychol. 2018, 109, 395–417. [Google Scholar] [CrossRef] [PubMed]
- Gui, C.; Venema, D.M.; Chien, J.H.; Cochran, T.M.; Siu, K.-C. Quantifying Fear of Falling by Utilizing Objective Body Sway Measures: A 360° Virtual Video Study. Gait Posture 2022, 93, 160–165. [Google Scholar] [CrossRef] [PubMed]
- Ng, Y.-L.; Ma, F.; Ho, F.K.; Ip, P.; Fu, K. Effectiveness of Virtual and Augmented Reality-Enhanced Exercise on Physical Activity, Psychological Outcomes, and Physical Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Comput. Hum. Behav. 2019, 99, 278–291. [Google Scholar] [CrossRef]
- Holden, M.K. Virtual Environments for Motor Rehabilitation: Review. Cyberpsychol. Behav. 2005, 8, 187–211. [Google Scholar] [CrossRef]
- Katifori, A.; Karvounis, M.; Kourtis, V.; Perry, S.; Roussou, M.; Ioanidis, Y. Applying Interactive Storytelling in Cultural Heritage: Opportunities, Challenges and Lessons Learned. In Proceedings of the Interactive Storytelling; Rouse, R., Koenitz, H., Haahr, M., Eds.; Springer International Publishing: Cham, 2018; pp. 603–612. [Google Scholar]
- Liritzis, I.; Volonakis, P.; Vosinakis, S. 3D Reconstruction of Cultural Heritage Sites as an Educational Approach. The Sanctuary of Delphi. Appl. Sci. 2021, 11. [Google Scholar] [CrossRef]
- Lele, A. Virtual Reality and Its Military Utility. J. Ambient Intell. Humaniz. Comput. 2013, 4, 17–26. [Google Scholar] [CrossRef]
- Pastel, S.; Petri, K.; Chen, C.H.; Wiegand Cáceres, A.M.; Stirnatis, M.; Nübel, C.; Schlotter, L.; Witte, K. Training in Virtual Reality Enables Learning of a Complex Sports Movement. Virtual Real. 2023, 27, 523–540. [Google Scholar] [CrossRef]
- Okamura, A.M.; Cutkosky, M.R.; Dennerlein, J.T. Reality-Based Models for Vibration Feedback in Virtual Environments. IEEEASME Trans. Mechatron. 2001, 6, 245–252. [Google Scholar] [CrossRef]
- Zhao, L.; Liu, Y.; Ye, D.; Ma, Z.; Song, W. Implementation and Evaluation of Touch-Based Interaction Using Electrovibration Haptic Feedback in Virtual Environments. In Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR); 2020; pp. 239–247. [Google Scholar]
- Kim, J.; Kim, S.; Lee, J. The Effect of Multisensory Pseudo-Haptic Feedback on Perception of Virtual Weight. IEEE Access 2022, 10, 5129–5140. [Google Scholar] [CrossRef]
- Chen, S.; Jiang, K.; Hu, H.; Kuang, H.; Yang, J.; Luo, J.; Chen, X.; Li, Y. Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device. Sensors 2021, 21. [Google Scholar] [CrossRef] [PubMed]
- Villani, D.; Repetto, C.; Cipresso, P.; Riva, G. May I Experience More Presence in Doing the Same Thing in Virtual Reality than in Reality? An Answer from a Simulated Job Interview✩. Interact. Comput. 2012, 24, 265–272. [Google Scholar] [CrossRef]
- Villani, D.; Riva, F.; Riva, G. New Technologies for Relaxation: The Role of Presence. Int. J. Stress Manag. 2007, 14, 260. [Google Scholar] [CrossRef]
- Janssen, J.H.; Bailenson, J.N.; IJsselsteijn, W.A.; J. H. D. M. Westerink Intimate Heartbeats: Opportunities for Affective Communication Technology. IEEE Trans. Affect. Comput. 2010, 1, 72–80. [Google Scholar] [CrossRef]
- Leeb, R.; Friedman, D.; Müller-Putz, G.R.; Scherer, R.; Slater, M.; Pfurtscheller, G. Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic. Comput. Intell. Neurosci. 2007, 2007, 079642. [Google Scholar] [CrossRef] [PubMed]
- Nijholt, A.; Tan, D.; Pfurtscheller, G.; Brunner, C.; Millán, J. d. R.; B. Allison; B. Graimann; F. Popescu; B. Blankertz; K. -R. Müller Brain-Computer Interfacing for Intelligent Systems. IEEE Intell. Syst. 2008, 23, 72–79. [Google Scholar] [CrossRef]
- Mak, J.N.; Wolpaw, J.R. Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects. IEEE Rev. Biomed. Eng. 2009, 2, 187–199. [Google Scholar] [CrossRef]
- Bamdad, M.; Zarshenas, H.; Auais, M.A. Application of BCI Systems in Neurorehabilitation: A Scoping Review. Disabil. Rehabil. Assist. Technol. 2015, 10, 355–364. [Google Scholar] [CrossRef] [PubMed]
- Mühl, C.; Allison, B.; Nijholt, A.; Chanel, G. A Survey of Affective Brain Computer Interfaces: Principles, State-of-the-Art, and Challenges. Brain-Comput. Interfaces 2014, 1, 66–84. [Google Scholar] [CrossRef]
- Thompson, T.; Steffert, T.; Ros, T.; Leach, J.; Gruzelier, J. EEG Applications for Sport and Performance. Neuroimaging Sports Sci. 2008, 45, 279–288. [Google Scholar] [CrossRef] [PubMed]
- Coffey, E.B.J.; Brouwer, A.-M.; van Erp, J.B.F. Measuring Workload Using a Combination of Electroencephalography and near Infrared Spectroscopy. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 2012, 56, 1822–1826. [Google Scholar] [CrossRef]
- Maples-Keller, J.L.; Bunnell, B.E.; Kim, S.-J.; Rothbaum, B.O. The Use of Virtual Reality Technology in the Treatment of Anxiety and Other Psychiatric Disorders. Harv. Rev. Psychiatry 2017, 25. [Google Scholar] [CrossRef] [PubMed]
- Rizzo, A.; Difede, J.; Rothbaum, B.O.; Reger, G.; Spitalnick, J.; Cukor, J.; Mclay, R. Development and Early Evaluation of the Virtual Iraq/Afghanistan Exposure Therapy System for Combat-Related PTSD. Ann. N. Y. Acad. Sci. 2010, 1208, 114–125. [Google Scholar] [CrossRef]
- Bohil, C.J.; Alicea, B.; Biocca, F.A. Virtual Reality in Neuroscience Research and Therapy. Nat. Rev. Neurosci. 2011, 12, 752–762. [Google Scholar] [CrossRef] [PubMed]
- Emmelkamp, P.M.G.; Meyerbröker, K. Virtual Reality Therapy in Mental Health. Annu. Rev. Clin. Psychol. 2021, 17, 495–519. [Google Scholar] [CrossRef]
- Freeman, D.; Bradley, J.; Antley, A.; Bourke, E.; DeWeever, N.; Evans, N.; Černis, E.; Sheaves, B.; Waite, F.; Dunn, G.; et al. Virtual Reality in the Treatment of Persecutory Delusions: Randomised Controlled Experimental Study Testing How to Reduce Delusional Conviction. Br. J. Psychiatry 2016, 209, 62–67. [Google Scholar] [CrossRef]
- Kourtesis, P.; Amir, R.; Linnell, J.; Argelaguet, F.; MacPherson, S.E. Cybersickness, Cognition, & Motor Skills: The Effects of Music, Gender, and Gaming Experience. IEEE Trans. Vis. Comput. Graph. 2023, 29, 2326–2336. [Google Scholar] [CrossRef]
- Kourtesis, P.; MacPherson, S.E. How Immersive Virtual Reality Methods May Meet the Criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology: A Software Review of the Virtual Reality Everyday Assessment Lab (VR-EAL). Comput. Hum. Behav. Rep. 2021, 4, 100151. [Google Scholar] [CrossRef]
- Kourtesis, P.; MacPherson, S.E. An Ecologically Valid Examination of Event-Based and Time-Based Prospective Memory Using Immersive Virtual Reality: The Influence of Attention, Memory, and Executive Function Processes on Real-World Prospective Memory. Neuropsychol. Rehabil. 2023, 33, 255–280. [Google Scholar] [CrossRef] [PubMed]
- Felton, E.A.; Williams, J.C.; Vanderheiden, G.C.; Radwin, R.G. Mental Workload during Brain–Computer Interface Training. Ergonomics 2012, 55, 526–537. [Google Scholar] [CrossRef]
- Gaggioli, A.; Pallavicini, F.; Morganti, L.; Serino, S.; Scaratti, C.; Briguglio, M.; Crifaci, G.; Vetrano, N.; Giulintano, A.; Bernava, G.; et al. Experiential Virtual Scenarios With Real-Time Monitoring (Interreality) for the Management of Psychological Stress: A Block Randomized Controlled Trial. J Med Internet Res 2014, 16, e167. [Google Scholar] [CrossRef]
- Lorentz, L.; Simone, M.; Zimmermann, M.; Studer, B.; Suchan, B.; Althausen, A.; Estocinova, J.; Müller, K.; Lendt, M. Evaluation of a VR Prototype for Neuropsychological Rehabilitation of Attentional Functions. Virtual Real. 2021. [Google Scholar] [CrossRef]
- Nolin, P.; Stipanicic, A.; Henry, M.; Lachapelle, Y.; Lussier-Desrochers, D.; Rizzo, A. “Skip”; Allain, P. ClinicaVR: Classroom-CPT: A Virtual Reality Tool for Assessing Attention and Inhibition in Children and Adolescents. Comput. Hum. Behav. 2016, 59, 327–333. [Google Scholar] [CrossRef]
- Schmitt, Y.S.; Hoffman, H.G.; Blough, D.K.; Patterson, D.R.; Jensen, M.P.; Soltani, M.; Carrougher, G.J.; Nakamura, D.; Sharar, S.R. A Randomized, Controlled Trial of Immersive Virtual Reality Analgesia, during Physical Therapy for Pediatric Burns. Burns 2011, 37, 61–68. [Google Scholar] [CrossRef]
- Goudman, L.; Jansen, J.; Billot, M.; Vets, N.; De Smedt, A.; Roulaud, M.; Rigoard, P.; Moens, M. Virtual Reality Applications in Chronic Pain Management: Systematic Review and Meta-Analysis. JMIR Serious Games 2022, 10, e34402. [Google Scholar] [CrossRef]
- Sensinger, J.W.; Dosen, S. A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control. Front. Neurosci. 2020, 14. [Google Scholar] [CrossRef] [PubMed]
- Lindgren, R.; Tscholl, M.; Wang, S.; Johnson, E. Enhancing Learning and Engagement through Embodied Interaction within a Mixed Reality Simulation. Comput. Educ. 2016, 95, 174–187. [Google Scholar] [CrossRef]
- Parong, J.; Mayer, R.E. Learning Science in Immersive Virtual Reality. J. Educ. Psychol. 2018, 110, 785. [Google Scholar] [CrossRef]
- Corrigan, N.; Păsărelu, C.-R.; Voinescu, A. Immersive Virtual Reality for Improving Cognitive Deficits in Children with ADHD: A Systematic Review and Meta-Analysis. Virtual Real. 2023. [Google Scholar] [CrossRef] [PubMed]
- Herrero, J.F.; Lorenzo, G. An Immersive Virtual Reality Educational Intervention on People with Autism Spectrum Disorders (ASD) for the Development of Communication Skills and Problem Solving. Educ. Inf. Technol. 2020, 25, 1689–1722. [Google Scholar] [CrossRef]
- Kourtesis, P.; Kouklari, E.-C.; Roussos, P.; Mantas, V.; Papanikolaou, K.; Skaloumbakas, C.; Pehlivanidis, A. Virtual Reality Training of Social Skills in Adults with Autism Spectrum Disorder: An Examination of Acceptability, Usability, User Experience, Social Skills, and Executive Functions. Behav. Sci. 2023, 13. [Google Scholar] [CrossRef] [PubMed]
- Maskey, M.; Lowry, J.; Rodgers, J.; McConachie, H.; Parr, J.R. Reducing Specific Phobia/Fear in Young People with Autism Spectrum Disorders (ASDs) through a Virtual Reality Environment Intervention. PLOS ONE 2014, 9, e100374. [Google Scholar] [CrossRef] [PubMed]
- Andersen, S.A.W.; Mikkelsen, P.T.; Konge, L.; Cayé-Thomasen, P.; Sørensen, M.S. Cognitive Load in Mastoidectomy Skills Training: Virtual Reality Simulation and Traditional Dissection Compared. J. Surg. Educ. 2016, 73, 45–50. [Google Scholar] [CrossRef] [PubMed]
- Andersen, S.A.W.; Mikkelsen, P.T.; Konge, L.; Cayé-Thomasen, P.; Sørensen, M.S. The Effect of Implementing Cognitive Load Theory-Based Design Principles in Virtual Reality Simulation Training of Surgical Skills: A Randomized Controlled Trial. Adv. Simul. 2016, 1, 20. [Google Scholar] [CrossRef] [PubMed]
- William, Irvin; Claire, Goldie; Christopher, O’Brien; Christopher, Aura; Leonard, Temme. Michael Wilson Virtual Reality Aviation Emergency Procedure (EP) Testbed.; April 12 2021; Vol. 11759, p. 1175909.
- Kim, S.; Lee, G.; Huang, W.; Kim, H.; Woo, W.; Billinghurst, M. Evaluating the Combination of Visual Communication Cues for HMD-Based Mixed Reality Remote Collaboration. In Proceedings of the Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems; Association for Computing Machinery: New York, NY, USA, 2019; pp. 1–13. [Google Scholar]
- Rogers, S.L.; Broadbent, R.; Brown, J.; Fraser, A.; Speelman, C.P. Realistic Motion Avatars Are the Future for Social Interaction in Virtual Reality. Front. Virtual Real. 2022, 2. [Google Scholar] [CrossRef]
- Parmar, D.; Isaac, J.; Babu, S.V.; D’Souza, N.; Leonard, A.E.; Jörg, S.; Gundersen, K.; Daily, S.B. Programming Moves: Design and Evaluation of Applying Embodied Interaction in Virtual Environments to Enhance Computational Thinking in Middle School Students. In Proceedings of the 2016 IEEE Virtual Reality (VR); March 19 2016; pp. 131–140. [Google Scholar]
- Alshowair, A.; Bail, J.; AlSuwailem, F.; Mostafa, A.; Abdel-Azeem, A. Use of Virtual Reality Exercises in Disaster Preparedness Training: A Scoping Review. SAGE Open Med. 2024, 12, 20503121241241936. [Google Scholar] [CrossRef]
- Adami, P.; Rodrigues, P.B.; Woods, P.J.; Becerik-Gerber, B.; Soibelman, L.; Copur-Gencturk, Y.; Lucas, G. Effectiveness of VR-Based Training on Improving Construction Workers’ Knowledge, Skills, and Safety Behavior in Robotic Teleoperation. Adv. Eng. Inform. 2021, 50, 101431. [Google Scholar] [CrossRef]
- Alaker, M.; Wynn, G.R.; Arulampalam, T. Virtual Reality Training in Laparoscopic Surgery: A Systematic Review & Meta-Analysis. Int. J. Surg. 2016, 29, 85–94. [Google Scholar] [CrossRef] [PubMed]
- Pantano, E.; Rese, A.; Baier, D. Enhancing the Online Decision-Making Process by Using Augmented Reality: A Two Country Comparison of Youth Markets. J. Retail. Consum. Serv. 2017, 38, 81–95. [Google Scholar] [CrossRef]
- Grewal, D.; Roggeveen, A.L.; Nordfält, J. The Future of Retailing. Future Retail. 2017, 93, 1–6. [Google Scholar] [CrossRef]
- Huang, T.-L.; Liao, S.-L. Creating E-Shopping Multisensory Flow Experience through Augmented-Reality Interactive Technology. Internet Res. 2017, 27, 449–475. [Google Scholar] [CrossRef]
- Blázquez, M. Fashion Shopping in Multichannel Retail: The Role of Technology in Enhancing the Customer Experience. Int. J. Electron. Commer. 2014, 18, 97–116. [Google Scholar] [CrossRef]
- Lukosch, S.; Lukosch, H.; Datcu, D.; Cidota, M. Providing Information on the Spot: Using Augmented Reality for Situational Awareness in the Security Domain. Comput. Support. Coop. Work CSCW 2015, 24, 613–664. [Google Scholar] [CrossRef]
- Santiteerakul, S.; Sopadang, A.; Yaibuathet Tippayawong, K.; Tamvimol, K. The Role of Smart Technology in Sustainable Agriculture: A Case Study of Wangree Plant Factory. Sustainability 2020, 12. [Google Scholar] [CrossRef]
- Kesim, M.; Ozarslan, Y. Augmented Reality in Education: Current Technologies and the Potential for Education. Cyprus Int. Conf. Educ. Res. CY-ICER-2012North Cyprus US08-10 Febr. 2012 2012, 47, 297–302. [Google Scholar] [CrossRef]
- Szilágyi, R.; Herdon, M. Augmented Reality (AR) Applications in Agriculture. In E-Innovation for Sustainable Development of Rural Resources During Global Economic Crisis; IGI Global, 2014; pp. 65–79 ISBN 978-1-4666-8751-6.
- Balducci, F.; Impedovo, D.; Pirlo, G. Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement. Machines 2018, 6. [Google Scholar] [CrossRef]
- Wang, R.; Sun, Y.; Zong, J.; Wang, Y.; Cao, X.; Wang, Y.; Cheng, X.; Zhang, W. Remote Sensing Application in Ecological Restoration Monitoring: A Systematic Review. Remote Sens. 2024, 16. [Google Scholar] [CrossRef]
- Wang, J.; Pham, T.L.; Dang, V.T. Environmental Consciousness and Organic Food Purchase Intention: A Moderated Mediation Model of Perceived Food Quality and Price Sensitivity. Int. J. Environ. Res. Public. Health 2020, 17. [Google Scholar] [CrossRef] [PubMed]
- Pavlidis, G.; Koutsoudis, A.; Arnaoutoglou, F.; Tsioukas, V.; Chamzas, C. Methods for 3D Digitization of Cultural Heritage. J. Cult. Herit. 2007, 8, 93–98. [Google Scholar] [CrossRef]
- Jeunet, C.; Hauw, D.; Millán, J. del R. Sport Psychology: Technologies Ahead. Front. Sports Act. Living 2020, 2. [Google Scholar] [CrossRef] [PubMed]
- Wu, S.; Stendal, K.; Thapa, D. Emerging Trends in XR-Mediated Virtual Team Collaboration in Digital Workspaces: A Systematic Literature Review. In Advances in Information Systems Development: Information Systems Development, Organizational Aspects, and Societal Trends; Rodrigues da Silva, A., Mira da Silva, M., Estima, J., Barry, C., Lang, M., Linger, H., Schneider, C., Eds.; Springer Nature Switzerland: Cham, 2024; pp. 85–108. ISBN 978-3-031-57189-3. [Google Scholar]
- Bruno, F.; Bruno, S.; De Sensi, G.; Luchi, M.-L.; Mancuso, S.; Muzzupappa, M. From 3D Reconstruction to Virtual Reality: A Complete Methodology for Digital Archaeological Exhibition. J. Cult. Herit. 2010, 11, 42–49. [Google Scholar] [CrossRef]
- Wojciechowski, R.; Walczak, K.; White, M.; Cellary, W. Building Virtual and Augmented Reality Museum Exhibitions. In Proceedings of the Proceedings of the Ninth International Conference on 3D Web Technology; Association for Computing Machinery: New York, NY, USA, 2004; pp. 135–144. [Google Scholar]
- Roussou, M.; Drettakis, G. Photorealism and Non-Photorealism in Virtual Heritage Representation. In Proceedings of the The 4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage; Arnold, D., Chalmers, A., Niccolucci, F., Eds.; The Eurographics Association; 2003. [Google Scholar]
- Sylaiou, S.; Mania, K.; Karoulis, A.; White, M. Exploring the Relationship between Presence and Enjoyment in a Virtual Museum. Int. J. Hum.-Comput. Stud. 2010, 68, 243–253. [Google Scholar] [CrossRef]
- LaViola, J.J. A Discussion of Cybersickness in Virtual Environments. SIGCHI Bull 2000, 32, 47–56. [Google Scholar] [CrossRef]
- Rebenitsch, L.; Owen, C. Review on Cybersickness in Applications and Visual Displays. Virtual Real. 2016, 20, 101–125. [Google Scholar] [CrossRef]
- Dennison, M.S.; Wisti, A.Z.; D’Zmura, M. Use of Physiological Signals to Predict Cybersickness. Displays 2016, 44, 42–52. [Google Scholar] [CrossRef]
- Kourtesis, P.; Collina, S.; Doumas, L.A.A.; MacPherson, S.E. Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology. Front. Hum. Neurosci. 2019, 13. [Google Scholar] [CrossRef]
- Kourtesis, P.; Collina, S.; Doumas, L.A.A.; MacPherson, S.E. Technological Competence Is a Pre-Condition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-Analysis. Front. Hum. Neurosci. 2019, 13. [Google Scholar] [CrossRef] [PubMed]
- Chang, E.; Kim, H.T.; Yoo, B. Predicting Cybersickness Based on User’s Gaze Behaviors in HMD-Based Virtual Reality. J. Comput. Des. Eng. 2021, 8, 728–739. [Google Scholar] [CrossRef]
- Fernandes, A.S.; Feiner, S.K. Combating VR Sickness through Subtle Dynamic Field-of-View Modification. In Proceedings of the 2016 IEEE Symposium on 3D User Interfaces (3DUI); March 19 2016; pp. 201–210. [Google Scholar]
- Kourtesis, P.; Linnell, J.; Amir, R.; Argelaguet, F.; MacPherson, S.E. Cybersickness in Virtual Reality Questionnaire (CSQ-VR): A Validation and Comparison against SSQ and VRSQ. Virtual Worlds 2023, 2, 16–35. [Google Scholar] [CrossRef]
- King, D.; Delfabbro, P.; Griffiths, M. The Convergence of Gambling and Digital Media: Implications for Gambling in Young People. J. Gambl. Stud. 2010, 26, 175–187. [Google Scholar] [CrossRef]
- King, D.L.; Delfabbro, P.H. Video Game Monetization (e.g., ‘Loot Boxes’): A Blueprint for Practical Social Responsibility Measures. Int. J. Ment. Health Addict. 2019, 17, 166–179. [Google Scholar] [CrossRef]
- Starcevic, V. Problematic Internet Use: A Distinct Disorder, a Manifestation of an Underlying Psychopathology, or a Troublesome Behaviour? World Psychiatry 2010, 9, 92–93. [Google Scholar] [CrossRef] [PubMed]
- Starcevic, V.; Billieux, J. Does the Construct of Internet Addiction Reflect a Single Entity or a Spectrum of Disorders? Clin. Neuropsychiatry J. Treat. Eval. 2017, 14, 5–10. [Google Scholar]
- Young, K. Internet Addiction: Diagnosis and Treatment Considerations. J. Contemp. Psychother. 2009, 39, 241–246. [Google Scholar] [CrossRef]
- Przybylski, A.K.; Weinstein, N.; Murayama, K. Internet Gaming Disorder: Investigating the Clinical Relevance of a New Phenomenon. Am. J. Psychiatry 2017, 174, 230–236. [Google Scholar] [CrossRef] [PubMed]
- Kuss, D.J.; Griffiths, M.D. Internet and Gaming Addiction: A Systematic Literature Review of Neuroimaging Studies. Brain Sci. 2012, 2, 347–374. [Google Scholar] [CrossRef] [PubMed]
- Lemmens, J.S.; Valkenburg, P.M.; Peter, J. Psychosocial Causes and Consequences of Pathological Gaming. Curr. Res. Top. Cogn. Load Theory 2011, 27, 144–152. [Google Scholar] [CrossRef]
- Holmgren, H.G.; Coyne, S.M. Can’t Stop Scrolling!: Pathological Use of Social Networking Sites in Emerging Adulthood. Addict. Res. Theory 2017, 25, 375–382. [Google Scholar] [CrossRef]
- Griffiths, M.D.; Parke, J. Adolescent Gambling on the Internet: A Review. Int. J. Adolesc. Med. Health 2010, 22, 59–75. [Google Scholar]
- King, D.L.; Delfabbro, P.H.; Griffiths, M.D. Video Game Addiction. In Principles of Addiction; Elsevier, 2013; pp. 819–825 ISBN 978-0-12-398336-7.
- Upadhyay, U.; Kumar, A.; Sharma, G.; Gupta, B.B.; Alhalabi, W.A.; Arya, V.; Chui, K.T. Cyberbullying in the Metaverse: A Prescriptive Perception on Global Information Systems for User Protection. J. Glob. Inf. Manag. JGIM 2023, 31, 1–25. [Google Scholar] [CrossRef]
- Vandebosch, H.; Van Cleemput, K. Cyberbullying among Youngsters: Profiles of Bullies and Victims. New Media Soc. 2009, 11, 1349–1371. [Google Scholar] [CrossRef]
- Barreda-Ángeles, M.; Hartmann, T. Hooked on the Metaverse? Exploring the Prevalence of Addiction to Virtual Reality Applications. Front. Virtual Real. 2022, 3. [Google Scholar] [CrossRef]
- Fox, J.; Tang, W.Y. Women’s Experiences with General and Sexual Harassment in Online Video Games: Rumination, Organizational Responsiveness, Withdrawal, and Coping Strategies. New Media Soc. 2017, 19, 1290–1307. [Google Scholar] [CrossRef]
- Tokunaga, R.S. Following You Home from School: A Critical Review and Synthesis of Research on Cyberbullying Victimization. Comput. Hum. Behav. 2010, 26, 277–287. [Google Scholar] [CrossRef]
- Rzeszewski, M.; Evans, L. Social Relations and Spatiality in VR - Making Spaces Meaningful in VRChat. Emot. Space Soc. 2024, 53, 101038. [Google Scholar] [CrossRef]
- Odeleye, B.; Loukas, G.; Heartfield, R.; Sakellari, G.; Panaousis, E.; Spyridonis, F. Virtually Secure: A Taxonomic Assessment of Cybersecurity Challenges in Virtual Reality Environments. Comput. Secur. 2023, 124, 102951. [Google Scholar] [CrossRef]
- Zaeem, R.N.; Barber, K.S. The Effect of the GDPR on Privacy Policies: Recent Progress and Future Promise. ACM Trans Manage Inf Syst 2020, 12. [Google Scholar] [CrossRef]
- Moreno-Arjonilla, J.; López-Ruiz, A.; Jiménez-Pérez, J.R.; Callejas-Aguilera, J.E.; Jurado, J.M. Eye-Tracking on Virtual Reality: A Survey. Virtual Real. 2024, 28, 38. [Google Scholar] [CrossRef]
- Dholakia, N.; Darmody, A.; Zwick, D.; Dholakia, R.R.; Fırat, A.F. Consumer Choicemaking and Choicelessness in Hyperdigital Marketspaces. J. Macromarketing 2021, 41, 65–74. [Google Scholar] [CrossRef]
- Westerlund, M. The Emergence of Deepfake Technology: A Review. Technol. Innov. Manag. Rev. 2019, 9, 39–52. [Google Scholar] [CrossRef]
- Alcañiz, M.; Bigné, E.; Guixeres, J. Virtual Reality in Marketing: A Framework, Review, and Research Agenda. Front. Psychol. 2019, 10. [Google Scholar] [CrossRef] [PubMed]
- Arias, O.; Wurm, J.; Hoang, K.; Jin, Y. Privacy and Security in Internet of Things and Wearable Devices. IEEE Trans. Multi-Scale Comput. Syst. 2015, 1, 99–109. [Google Scholar] [CrossRef]
- Çelik, F.; Çam, M.S.; Koseoglu, M.A. Ad Avoidance in the Digital Context: A Systematic Literature Review and Research Agenda. Int. J. Consum. Stud. 2023, 47, 2071–2105. [Google Scholar] [CrossRef]
- Zhou, X.; Zafarani, R.; Shu, K.; Liu, H. Fake News: Fundamental Theories, Detection Strategies and Challenges. In Proceedings of the Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining; Association for Computing Machinery: New York, NY, USA, 2019; pp. 836–837. [Google Scholar]
- Devereaux, A. The Digital Wild West: On Social Entrepreneurship in Extended Reality. J. Entrep. Public Policy 2021, 10, 198–217. [Google Scholar] [CrossRef]
- Ferrara, E. Disinformation and Social Bot Operations in the Run up to the 2017 French Presidential Election. First Monday 2017, 22. [Google Scholar] [CrossRef]
- Ryan Bengtsson, L.; Van Couvering, E. Stretching Immersion in Virtual Reality: How Glitches Reveal Aspects of Presence, Interactivity and Plausibility. Convergence 2023, 29, 432–448. [Google Scholar] [CrossRef]
- McDougall, J. Media Literacy versus Fake News: Critical Thinking, Resilience and Civic Engagement. Medijske Stud. 2019, 10, 29–45. [Google Scholar] [CrossRef]
- Kalyvaki, M. Navigating the Metaverse Business and Legal Challenges: Intellectual Property, Privacy, and Jurisdiction. J. Metaverse 2023, 3, 87–92. [Google Scholar] [CrossRef]
- Guo, J.; Weng, D.; Fang, H.; Zhang, Z.; Ping, J.; Liu, Y.; Wang, Y. Exploring the Differences of Visual Discomfort Caused by Long-Term Immersion between Virtual Environments and Physical Environments. In Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR); March 22 2020; pp. 443–452. [Google Scholar]
- Hirzle, T.; Fischbach, F.; Karlbauer, J.; Jansen, P.; Gugenheimer, J.; Rukzio, E.; Bulling, A. Understanding, Addressing, and Analysing Digital Eye Strain in Virtual Reality Head-Mounted Displays. ACM Trans Comput-Hum Interact 2022, 29. [Google Scholar] [CrossRef]
- Arif, U.; Khan, R.H.; Khan, A.A. Musculoskeletal Disorders and Visual Symptoms Among Virtual Reality Headset Users. In Proceedings of the Ergonomics for Improved Productivity; Muzammil, M., Khan, A.A., Hasan, F., Eds.; Springer Singapore: Singapore, 2021; pp. 821–829. [Google Scholar]
- Hribernik, M.; Umek, A.; Tomažič, S.; Kos, A. Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation. Sensors 2022, 22. [Google Scholar] [CrossRef] [PubMed]
- Putranto, J.S.; Heriyanto, J.; Kenny; Achmad, S. ; Kurniawan, A. Implementation of Virtual Reality Technology for Sports Education and Training: Systematic Literature Review. 7th Int. Conf. Comput. Sci. Comput. Intell. 2022 2023, 216, 293–300. [Google Scholar] [CrossRef]
- Hilbert, M. The Bad News Is That the Digital Access Divide Is Here to Stay: Domestically Installed Bandwidths among 172 Countries for 1986–2014. Telecommun. Policy 2016, 40, 567–581. [Google Scholar] [CrossRef]
- Scheerder, A.J.; van Deursen, A.J.; van Dijk, J.A. Internet Use in the Home: Digital Inequality from a Domestication Perspective. New Media Soc. 2019, 21, 2099–2118. [Google Scholar] [CrossRef]
- Radianti, J.; Majchrzak, T.A.; Fromm, J.; Wohlgenannt, I. A Systematic Review of Immersive Virtual Reality Applications for Higher Education: Design Elements, Lessons Learned, and Research Agenda. Comput. Educ. 2020, 147, 103778. [Google Scholar] [CrossRef]
- Attaran, S.; Attaran, M.; Celik, B.G. Digital Twins and Industrial Internet of Things: Uncovering Operational Intelligence in Industry 4.0. Decis. Anal. J. 2024, 10, 100398. [Google Scholar] [CrossRef]
- Slater, M.; Spanlang, B.; Sanchez-Vives, M.V.; Blanke, O. First Person Experience of Body Transfer in Virtual Reality. PLOS ONE 2010, 5, e10564. [Google Scholar] [CrossRef]
- Yadav, A.; Reddy, K.G.N. Virtual Dilemmas: Legal and Ethical Rollercoasters in Immersive Tech Land. In Multidisciplinary Applications of Extended Reality for Human Experience; Kajla, T., Kansra, P., Singh, N., Eds.; IGI Global: Hershey, PA, USA, 2024; pp. 64–80. ISBN 9798369324325. [Google Scholar]
- Freeman, D.; Haselton, P.; Freeman, J.; Spanlang, B.; Kishore, S.; Albery, E.; Denne, M.; Brown, P.; Slater, M.; Nickless, A. Automated Psychological Therapy Using Immersive Virtual Reality for Treatment of Fear of Heights: A Single-Blind, Parallel-Group, Randomised Controlled Trial. Lancet Psychiatry 2018, 5, 625–632. [Google Scholar] [CrossRef] [PubMed]
- Kourtesis, P.; Collina, S.; Doumas, L.A.A.; MacPherson, S.E. Validation of the Virtual Reality Everyday Assessment Lab (VR-EAL): An Immersive Virtual Reality Neuropsychological Battery with Enhanced Ecological Validity. J. Int. Neuropsychol. Soc. 2021, 27, 181–196. [Google Scholar] [CrossRef] [PubMed]
- Kourtesis, P.; Collina, S.; Doumas, L.A.A.; MacPherson, S.E. An Ecologically Valid Examination of Event-Based and Time-Based Prospective Memory Using Immersive Virtual Reality: The Effects of Delay and Task Type on Everyday Prospective Memory. Memory 2021, 29, 486–506. [Google Scholar] [CrossRef] [PubMed]
- Kourtesis, P.; MacPherson, S.E. An Ecologically Valid Examination of Event-Based and Time-Based Prospective Memory Using Immersive Virtual Reality: The Influence of Attention, Memory, and Executive Function Processes on Real-World Prospective Memory. Neuropsychol. Rehabil. 2021, 1–26. [Google Scholar] [CrossRef] [PubMed]
- Melo, M.; Vasconcelos-Raposo, J.; Bessa, M. Presence and Cybersickness in Immersive Content: Effects of Content Type, Exposure Time and Gender. Comput. Graph. 2018, 71, 159–165. [Google Scholar] [CrossRef]
- Santos, M.; Sequeira, T.N.; Ferreira-Lopes, A. Income Inequality and Technological Adoption. J. Econ. Issues 2017, 51, 979–1000. [Google Scholar] [CrossRef]
- Chen, X.; Xie, H.; Zou, D.; Hwang, G.-J. Application and Theory Gaps during the Rise of Artificial Intelligence in Education. Comput. Educ. Artif. Intell. 2020, 1, 100002. [Google Scholar] [CrossRef]

| Modality | Primary Function | Applications | Example |
|---|---|---|---|
| Eye-Tracking | Tracks visual attention and cognitive load | Education, professional training, gaming, healthcare | Adapting content based on gaze in training simulations, adjusting difficulty based on cognitive load |
| Facial Tracking | Captures and replicates real-time facial expressions to enhance emotional and social presence | Virtual workspaces, social hangouts, gaming, therapy | Avatars mirroring users’ facial expressions for more natural interaction |
| Hand/Finger Tracking | Allows intuitive manipulation of virtual objects using hand and finger gestures | Professional training, collaborative work, gaming, creative industries | Manipulating virtual objects in real time during design sessions or medical simulations |
| Full-Body Tracking | Tracks full-body movements for realistic avatar replication and physical engagement | Fitness, physical therapy, social interaction, sports training | Performing physical exercises in a virtual fitness program, analyzing posture in physical therapy |
| Haptic Feedback | Provides tactile sensations to simulate the feeling of virtual objects and environments | Training simulations, gaming, therapy, creative industries | Feeling resistance when handling virtual tools in mechanical training or receiving tactile feedback in creative tasks |
| Galvanic Skin Response (GSR) | Monitors emotional states through skin conductance linked to arousal levels | Therapy, stress management, emotional engagement | Adjusting virtual environments in real time based on stress or relaxation levels detected via GSR |
| Heart Rate Monitoring | Tracks physiological engagement through heart rate changes | Virtual fitness, stress management, emotional engagement | Adjusting workout intensity in virtual fitness programs based on heart rate feedback |
| EEG (Electroencephalogram) | Measures brain activity and cognitive states for brain-computer interaction (BCI) | Accessibility, cognitive control, education, professional training | Allowing users to control virtual objects with brain activity or adjusting task difficulty based on cognitive load data |
| Domain | Key Applications | Multimodal Integration | Example |
|---|---|---|---|
| Clinical | Therapy, neuropsychological assessment, physical rehabilitation, pain management | Eye-tracking, GSR, EEG, haptic feedback | XR exposure therapy for anxiety disorders, stroke rehabilitation with motor skill tracking |
| Education | STEM education, history, language learning, special education | Hand-tracking, eye-tracking, haptic feedback, EEG | Virtual dissections in biology, historical reenactments, personalized learning for students with learning disabilities |
| Professional Training | Medical training, emergency response, manufacturing, corporate skill development | Hand-tracking, haptic feedback, EEG, GSR | XR simulations for surgical training, crisis management in disaster scenarios, leadership training |
| Arts & Entertainment | Gaming, virtual art galleries | Facial tracking, hand-tracking, haptic feedback, eye-tracking | Immersive multiplayer gaming with avatar mirroring, virtual museum experiences with tactile feedback |
| Public Health & Safety | Disaster preparedness, public health campaigns, workplace safety | Eye-tracking, hand-tracking, haptic feedback, full-body tracking | Virtual earthquake simulations for first responders, XR for health safety training |
| Retail & E-commerce | Virtual shopping, product customization, enhanced customer insights | Hand-tracking, eye-tracking, haptic feedback | Virtual clothing try-ons with full-body tracking, real-time eye-tracking for personalized shopping experiences |
| Architecture & Urban Planning | Virtual walkthroughs, collaborative design, safety and risk assessment | Hand-tracking, haptic feedback, eye-tracking, full-body tracking | Virtual tours of proposed buildings with real-time adjustments, AR overlays for community feedback |
| Sports Training | Skill development, mental training, performance analysis | Full-body tracking, heart rate monitoring, GSR, EEG | XR for tennis serve practice with haptic feedback, mental conditioning with GSR and EEG monitoring |
| Agriculture & Environment | Precision agriculture, conservation, environmental monitoring | Hand-tracking, haptic feedback, eye-tracking, GSR | Virtual crop management simulations, immersive environmental impact assessments |
| Remote Work | Virtual meetings, remote collaboration, training, and onboarding | Eye-tracking, hand-tracking, full-body tracking, facial tracking | Interactive virtual office spaces with real-time avatar mirroring and hand-tracking |
| Museums & Cultural Heritage | Virtual museums, cultural preservation, multimodal engagement in museums | Eye-tracking, hand-tracking, haptic feedback | Digital reconstruction of endangered cultural sites, interactive museum exhibits with personalized tours |
| Risk | Primary Concern | Implications | Examples |
|---|---|---|---|
| Cybersickness | Physical discomfort due to sensory conflict between visual input and lack of corresponding physical movement | Decreased engagement, reduced productivity, and hindered adoption of XR technologies in training or education settings | Users experience dizziness, nausea, and headaches during long VR training sessions, limiting their effectiveness |
| Addiction | Psychological dependence on immersive virtual environments | Neglect of real-world responsibilities, social isolation, and potential mental health deterioration | Users spend excessive time in virtual spaces, leading to poor academic or work performance and weakened real-life relationships |
| Cyber Harassment & Bullying | Anonymity and lack of consequences in virtual environments lead to harmful behaviors | Increased emotional distress, anxiety, and psychological harm due to virtual harassment or bullying | Virtual groping or abusive language in social XR spaces, with victims feeling violated and emotionally distressed |
| Data Privacy & Security | Collection of sensitive biometric, behavioral, and emotional data presents risks of misuse or hacking | Unauthorized access to personal data, including identity theft or surveillance, and potential manipulation of user behavior | Biometric data like eye-tracking or EEG used to profile users and influence decision-making without their knowledge |
| Intense Advertising | Hyper-targeted and manipulative advertising based on user data | Manipulation of users’ emotions and cognitive states, commercial exploitation, and over-commercialization of virtual spaces | Real-time emotional responses used to deliver targeted ads that exploit vulnerable moments, leading to compulsive purchases |
| Manipulation of Public Opinion | Misinformation and deepfake content spread through immersive experiences | Influence on political or social views, creating echo chambers and distorting users’ perceptions of reality | Deepfake avatars of political figures delivering fake speeches in virtual environments, confusing users about real-world events |
| Physical Health Concerns | Strain from prolonged use of XR headsets and repetitive movements | Eye strain, musculoskeletal problems, and sedentary lifestyle leading to long-term health issues | Users experience headaches and discomfort due to prolonged headset use or poor posture during VR interactions |
| Digital Divide & Inequality | Economic and infrastructure barriers limit access to XR technologies | Widening social and economic gaps, unequal access to education, healthcare, and workforce opportunities | Lower-income communities unable to access XR-enhanced education, resulting in disadvantaged students |
| Psychological Detachment | Prolonged exposure to immersive environments blurs the line between virtual and real worlds | Reality confusion, dissociation, and emotional distress, particularly in vulnerable populations | Users struggle to distinguish between virtual events and real-world experiences, leading to cognitive disorientation |
| Regulatory Challenges | Lack of comprehensive legal frameworks governing data privacy, content moderation, and intellectual property | Difficulty in enforcing user protections across decentralized and global XR platforms | Jurisdictional issues in handling virtual harassment or disputes over digital assets in cross-border XR environments |
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