Role of Artificial Intelligence in Enhancing Metaverse Gaming Experience and Human Interaction
DOI:
https://doi.org/10.54536/ijm.v2i1.2933Keywords:
Metaverse, Gaming, Artificial Intelligence (AI), Virtual Reality, Augmented Reality, Deep LearningAbstract
Artificial Intelligence (AI) is a tool that is useful for enabling and sustaining the Metaverse gaming experience by infusing virtual reality (VR), augmented reality (AR), extended realities (XR), and blockchain. The current research focused on identifying the impact of AI in leveraging immersive experiences and improving human interaction, which plays a crucial role in Metaverse gaming. A quantitative analysis carried out surveys from 200 randomly sampled respondents involved in Metaverse gaming. Using SPSS 26.0, correlation analysis showed that association between the values of ‘r’ of variables Immersive Gaming Experience (r=0.983**), Deep Learning Collaboration (r=0.957**) and Increased Human Interaction (r=0.979**) are greater than 0.7 depicting strong correlation with Metaverse gaming. Regression analysis further confirmed that the role of AI in enhancing the Metaverse gaming experience and human interaction is significant. With the considerable success of AI in Metaverse, the role of DL algorithms is also groundbreaking in leveraging game balance in multiplayer games, satisfying play-testers and designers who own valuable features, real-time rendering, and multi-user design collaboration.
References
Bibri, S. E., & Jagatheesaperumal, S. K. (2023). Harnessing the potential of the Metaverse and artificial intelligence for the internet of city things: Cost-effective XReality and synergistic AIoT technologies. Smart Cities, 6(5), 2397-2429.
Bolger, R. K. (2021). Finding wholes in the Metaverse: Posthuman mystics as agents of evolutionary contextualisation. Religions, 12(9), 768.
Bushell, C. (2022). The Impact of Metaverse on Branding and Marketing. Available at SSRN 4144628.
Cho, Y., Hong, S., Kim, M., & Kim, J. (2022). DAVE: Deep learning-based asymmetric virtual environment for immersive experiential metaverse content. Electronics, 11(16), 2604.
Du, H., Li, Z., Niyato, D., Kang, J., Xiong, Z., Huang, H., & Mao, S. (2024). Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services. IEEE Transactions on Mobile Computing.
Dubey, A., Bhardwaj, N., Upadhyay, A., & Ramnani, R. (2023). AI for immersive metaverse experience. Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD),
Dudley, J., Yin, L., Garaj, V., & Kristensson, P. O. (2023). Inclusive immersion: a review of efforts to improve accessibility in virtual reality, augmented reality and the Metaverse. Virtual Reality, 27(4), 2989-3020.
Frutos-Pascual, M., & Zapirain, B. G. (2015). Review of the use of AI techniques in serious games: Decision making and machine learning. IEEE Transactions on Computational Intelligence and AI in Games, 9(2), 133-152.
Goodwin, S. (2016). Polished Game Development: From First Steps to Final Release. Apress.
Guo, Y., Yu, T., Wu, J., Wang, Y., Wan, S., Zheng, J., Fang, L., & Dai, Q. (2022). Artificial intelligence for Metaverse: a framework. CAAI Artificial Intelligence Research, 1(1), 54-67.
Hadjar, H., McKevitt, P., & Hemmje, M. (2022). Home-based immersive web rehabilitation gaming with audiovisual sensors. Proceedings of the 33rd European Conference on Cognitive Ergonomics,
Han, G.-J., Zhang, X.-F., Wang, H., & Mao, C.-G. (2020). Curiosity-driven variational autoencoder for deep q network. Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I 24,
Henz, P. (2022). The psychological impact of the Metaverse. Discover Psychology, 2(1), 47.
Himangi, P., & Singla, M. (2022). Investigating Role of Deep Learning in Metaverse. International Journal of New Practices in Management and Engineering, 11(01), 53-60.
Huynh-The, T., Pham, Q.-V., Pham, X.-Q., Nguyen, T. T., Han, Z., & Kim, D.-S. (2023). Artificial intelligence for the Metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581.
Inder, S. (2023). Entrepreneurial opportunities in Metaverse. In Promoting Consumer Engagement Through Emotional Branding and Sensory Marketing (pp. 52-62). IGI Global.
Jamshidi, M., Dehghaniyan Serej, A., Jamshidi, A., & Moztarzadeh, O. (2023). The meta-metaverse: ideation and future directions. Future Internet, 15(8), 252.
Kafle, S. C. (2019). Correlation and regression analysis using SPSS. Management, Technology & Social Sciences, 126.
Khan, I. (2023). Metaverse For Dummies. John Wiley & Sons.
Kraus, S., Kanbach, D. K., Krysta, P. M., Steinhoff, M. M., & Tomini, N. (2022). Facebook and the creation of the Metaverse: radical business model innovation or incremental transformation? International Journal of Entrepreneurial Behavior & Research, 28(9), 52-77.
Li, P., Zhang, Z., Al-Sumaiti, A. S., Werghi, N., & Yeun, C. Y. (2023). A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning. IEEE Sensors Journal.
Lyu, Z. (2023). State-of-the-art human-computer-interaction in Metaverse. International Journal of Human–Computer Interaction, 1-19.
Machado, P., Romero, J., & Greenfield, G. (2021). Artificial Intelligence for Designing Games. Artificial Intelligence and the Arts: Computational Creativity, Artistic Behavior, and Tools for Creatives, 277-310.
Mahesh, B. (2020). Machine learning algorithms-a review. International Journal of Science and Research (IJSR).[Internet], 9(1), 381-386.
Malik, N., Jindal, K., Verma, S., & Gupta, S. (2024). Metaverse Dynamics: Exploring Industry Impacts and Educational Frontiers. In Educational Perspectives on Digital Technologies in Modeling and Management (pp. 195-218). IGI Global.
Marto, A., & Gonçalves, A. (2022). Augmented reality games and presence: a systematic review. Journal of Imaging, 8(4), 91.
Mazandarani, H., Shokrnezhad, M., Taleb, T., & Li, R. (2023). Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications. IEEE MetaCom, Kyoto.
Morales, E. F., & Escalante, H. J. (2022). A brief introduction to supervised, unsupervised, and reinforcement learning. In Biosignal processing and classification using computational learning and intelligence (pp. 111-129). Elsevier.
Njoku, J. N., Nwakanma, C. I., Amaizu, G. C., & Kim, D. S. (2023). Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1-21.
Pirker, J. (2023). Video games, technology, and sport: The future is interactive, immersive, and adaptive. In 21st century sports: How technologies will change sports in the digital age (pp. 307-317). Springer.
Sivasankar, G. (2022). Study of blockchain technology, AI and digital networking in Metaverse. IRE Journals, 5(8), 110-115.
Taye, M. M. (2023). Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions. Computers, 12(5), 91.
The, T. H., Pham, Q. V., Pham, X. Q., Do‐Duy, T., & Reddy Gadekallu, T. (2023). AI and Computer Vision Technologies for Metaverse. Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, 85-124.
Wang, Y., Siau, K. L., & Wang, L. (2022). Metaverse and human-computer interaction: A technology framework for 3D virtual worlds. International Conference on Human-Computer Interaction,
Xiong, M. (2022). An Acquisition Deal in the Gaming World. Highlights in Business, Economics and Management, 2, 452-456.
Yin, Q.-Y., Yang, J., Huang, K.-Q., Zhao, M.-J., Ni, W.-C., Liang, B., Huang, Y., Wu, S., & Wang, L. (2023). AI in Human-computer Gaming: Techniques, Challenges and Opportunities. Machine Intelligence Research, 20(3), 299-317.
Zawish, M., Dharejo, F. A., Khowaja, S. A., Raza, S., Davy, S., Dev, K., & Bellavista, P. (2024). AI and 6G into the Metaverse: Fundamentals, challenges and future research trends. IEEE Open Journal of the Communications Society, 5, 730-778.
Zhouxiang, L. (2023). The Birth and Development of Sports Video Games From the 1950s to the Early 1980s. Sport History Review, 1(aop), 1-25.
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Copyright (c) 2023 Omar Alotaibi
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