Abstract
Dynamic Virtual Reality (VR) has revolutionized gaming and entertainment industries by providing immersive experiences that take users to new locations. This study presents a novel and exciting idea called virtual reality horror sports, which combines aspects of horror with sports in the VR medium. We provide a novel approach to developing adaptive VR horror games by combining player modeling approaches with an adaptive means-based system that learn about each player's individual fears and adjust the game's content accordingly. This work presents two significant advances: a unique method for determining a player's specific fears via game data and machine learning methods and an adaptive game system that employs agents to monitor players' terror experiences and restrict exposure to components that they find upsetting. Additional evidence from user studies and statistical significance testing suggests that our method may boost the stress and anxiety felt by gamers, resulting in rewarding gaming experience. When VR, horror and sports are all brought together, the outcome may compel and absorbing entertainment experience. Players will be immersed in a virtual environment that is both realistic and exciting. A dynamic virtual reality horror sports experience improved by Artificial Intelligence (AI) and player modeling provide a novel and comprehensive form of entertainment by fusing physical activity, customization and immersion in a single package. An endeavor of this kind has the potential to advance state of VR and artificial intelligence in gaming while also offering exciting and memorable adventures for gamers.
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References
Ibáñez de OpacuaLomoschitz M (2022) Development of a Virtual Reality application focused on rehabilitation therapies combining VR glasses and Deep Learning (Doctoral dissertation, Telecomunicacion)
Vatsal R, Mishra S, Thareja R, Chakrabarty M, Sharma O, Shukla J (2023) An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming. arXiv preprint arXiv:2306.09690
Soltani P, Vilas-Boas JP (2021) Multi-user virtual environments for physical education and sport training. In Research Anthology on Business Strategies, Health Factors, and Ethical Implications in Sports and eSports (pp 734–755). IGI Global
Campbell C, Plangger K, Sands S, Kietzmann J, Bates K (2022) How deepfakes and artificial intelligence could reshape the advertising industry: The coming reality of AI fakes and their potential impact on consumer behavior. J Advert Res 62(3):241–251
Blackwell L, Ellison N, Elliott-Deflo N, Schwartz R (2019) Harassment in social virtual reality: Challenges for platform governance. Proc ACM on Hum-Comput Interact, 3(CSCW), pp 1–25
Gaybulloyev EE, Siddiqov BN, Kudratillaev MB, Tufliyev KB (2023) The development of artificial intelligence is the basis of the modern economy. Univ J Acad Multidiscip Res 1(1):89–96
Araiza-Alba P, Keane T, Chen WS, Kaufman J (2021) Immersive virtual reality as a tool to learn problem-solving skills. Comput Educ 164:104121
Rana R, Bhutani A (2022) Artificial Intelligence: The need of the hour. In Handbook of Research on Cyber Law, Data Protection, and Privacy (pp 332–344). IGI Global
Michailidis L (2021) Exploiting physiological changes during the flow experience for assessing virtual-reality game design (Doctoral dissertation, Bournemouth University)
Jecan VB (n.d.) Playing with Robots: Narratives of Replacement, Intelligent Machines and Virtual Reality in the Cybernetic Imagination (Doctoral dissertation, University of Georgia)
Tiwari I, Solankar D, Khande R (2023) Virtual and augmented realms: the evolution of video games with VR and AR technology. Vidhyayana-An International Multidisciplinary Peer-Reviewed E-Journal-ISSN 2454–8596, 8(si7), pp 545–561
Stecuła K (2022) Virtual reality applications market analysis on the example of steam digital platform. Informatics 9(4):100
Hess DJ, Sovacool BK (2020) Sociotechnical matters: Reviewing and integrating science and technology studies with energy social science. Energy Res Soc Sci 65:101462
De Lima ES, Silva BM, Galam GT (2020) Towards the design of adaptive virtual reality horror games: a model of players' fears using machine learning and player modeling. In 2020 19th Brazilian symposium on computer games and digital entertainment (SBGames) (pp 171–177). IEEE
Heitzmann MA, Shastri D (2022) Cruel Parallel: Towards the designing of a dynamic game adaptation for VR-Based survival horror games. In international conference on human-computer interaction (pp 536–541). Cham: Springer Nature Switzerland
Graja S, Lopes P, Chanel G (2020) Impact of visual and sound orchestration on physiological arousal and tension in a horror game. IEEE Trans Games 13(3):287–299
Wan CK, Chiu CH (2023) A process perspective of immersive virtual reality user experiences: Transition dynamics and mechanisms during game play. Int J Hum Comput Stud 176:103037
Lemmens JS, Simon M, Sumter SR (2022) Fear and loathing in VR: the emotional and physiological effects of immersive games. Virtual Reality 26(1):223–234
Chiossi F, Turgut Y, Welsch R, Mayer S (2023) Adapting visual complexity based on electrodermal activity improves working memory performance in virtual reality. Proc ACM Hum-Comput Interact 7
Benlamine MS, Dufresne A, Beauchamp MH, Frasson C (2021) BARGAIN: behavioral affective rule-based games adaptation interface towards emotionally intelligent games: application on a virtual reality environment for socio-moral development. User Model User-Adap Inter 31:287–321
Cattan G, Andreev A, Visinoni E (2020) Recommendations for integrating a P300-based brain–computer interface in virtual reality environments for gaming: an update. Computers 9(4):92
Wei L, Wang X, Wang T, Duan Z, Hong Y, He X, Huang H (2023) Recommendation systems for the metaverse. Blockchains 1(1):19–33
Chen BJ, Yang DN (2022) User recommendation in social metaverse with VR. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp 148–158)
Balby Marinho L, Trattner C, Parra D (2015) Are real-world place recommender algorithms useful in virtual world environments?. In Proceedings of the 9th ACM Conference on Recommender Systems (pp 245–248)
Politowski C, Fontoura LM, Petrillo F, Guéhéneuc YG (2018) Learning from the past: A process recommendation system for video game projects using postmortems experiences. Inf Softw Technol 100:103–118
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Ojha, A., Narain, S., Raj, A. et al. Dynamic virtual reality horror sports enhanced by artificial intelligence and player modeling. Multimed Tools Appl 83, 77415–77432 (2024). https://doi.org/10.1007/s11042-024-18414-6
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DOI: https://doi.org/10.1007/s11042-024-18414-6