Review of Innovative Applications of AI and Web3 in Metaverse Social Platforms
DOI:
https://doi.org/10.54691/kh68r413Keywords:
Metaverse Social Platforms; AI; web3.Abstract
This paper reviews the innovative applications of AI and Web3 in metaverse social platforms. It first analyzes the foundational roles of AI (e.g., virtual avatar generation, intelligent interaction, personalized recommendation) and Web3 (e.g., blockchain, NFTs, decentralized identity) in enabling immersive, secure, and user-centric social interactions. It then examines their synergies, with case studies of Decentraland and The Sandbox illustrating practical integrations. The research identifies key challenges, including technical bottlenecks (e.g., AI realism, blockchain scalability), user-related issues (e.g., awareness, privacy concerns), and industry-level hurdles (e.g., regulatory ambiguities, homogenization). Finally, it proposes future directions: advancing AI/Web3 technologies, expanding application scenarios across education and entertainment, and implementing strategic recommendations to foster inclusive and sustainable metaverse social ecosystems.
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[1] Jeon, Y. (2022). Reading Social Media Marketing Messages as Simulated Self Within a Metaverse: An Analysis of Gaze and Social Media Engagement Behaviors within a Metaverse Platform. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 301-303). IEEE.
[2] Reenu, Vig, S., & Dwivedi, S. (2024). Navigating the Ethical, Social and Legal Implications of Metaverse. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
[3] Guidi, B., & Michienzi, A. (2022). Social games and Blockchain: exploring the Metaverse of Decentraland. In 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) (pp. 199-204). IEEE.
[4] Yu, W., Chua, T. J., & Zhao, J. (2023). Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) (pp. 1-5). IEEE.
[5] Kim, J., Kim, K.-s., Park, S., Kim, J. H., Kim, W., & Park, J. H. (2024). Analysis of the association between metaverse-based engineering education and environment, social and governance platforms. In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 901-902). IEEE.
[6] Cao, L. (2022). Decentralized AI: Edge intelligence and smart blockchain, metaverse, Web3, and DeSci. IEEE Intelligent Systems, 37(3), 6-19.
[7] Zhang, Y., Luo, H., Liu, Y., & Cheng, W. (2023). Is Metaverse Better than Video Conferencing in Promoting Social Presence and Learning Engagement? In 2023 International Conference on Intelligent Education and Intelligent Research (IEIR) (pp. 1-6). IEEE.
[8] Cheng, R., Wu, N., Chen, S., & Han, B. (2022). Reality Check of Metaverse: A First Look at Commercial Social Virtual Reality Platforms. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 141-148). IEEE.
[9] Falchuk, B., Loeb, S., & Neff, R. (2018). The Social Metaverse: Battle for Privacy. IEEE Technology and Society Magazine, 37(2), 52-61.
[10] Wang, Y., Su, Z., & Yan, M. (2023). Social Metaverse: Challenges and Solutions. IEEE Internet of Things Magazine, 6(3), 144-150.
[11] Gatto, L., Gaglio, G. F., Augello, A., Caggianese, G., Gallo, L., & La Cascia, M. (2022). MET-iquette: enabling virtual agents to have a social compliant behavior in the Metaverse. In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 394-401). IEEE.
[12] Zhang, G., Wu, J., Jeon, G., Chen, Y., Wang, Y., & Tan, M. (2023). Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism: A Case Study of Nova Empire. IEEE Transactions on Computational Social Systems, 10(5), 2165-2175.
[13] Wang, X., Huang, J., Tian, Y.-L., & Wang, F.-Y. (2024). AGI in Metaverse for Smart Cities and Societies: A Cyber Physical Social Approach. In 2024 Australian & New Zealand Control Conference (ANZCC) (pp. 61-66). IEEE.
[14] Alhilal, A., Shatilov, K., Braud, T., Tyson, G., & Hui, P. (2023). Network Traffic in the Metaverse: The Case of Social VR. In 2023 IEEE 43rd International Conference on Distributed Computing Systems Workshops (ICDCSW) (pp. 109-114). IEEE.
[15] Ni, P., Zhu, J., & Wang, G. (2024). Activity-Oriented Production Promotion Utility Maximization in Metaverse Social Networks. IEEE/ACM Transactions on Networking, 32(2), 1140-1154.
[16] Garcia, M. B., Quejado, C. K., Maranan, C. R. B., Ualat, O. N., Adao, R. T., Happonen, A., Yilmaz, R., & Bozkurt, A. (2024). Social relationship development in the metaverse: The roles of embodiment, immersion, and the moderating effect of copresence. In 2024 IEEE Region 10 Conference (TENCON). IEEE.
[17] Choudhary, R., Prakash, R., Chaudhary, R., Budhiraja, I., & Choudhary, A. (2024). Path planning for self-driving vehicles using metaverse in 6G era with AI-enabled networks. In 2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE.
[18] 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. IEICE Open Journal of the Communications Society, 5, 730-778.
[19] Chang, L., Zhang, Z., Li, P., Xi, S., Guo, W., Shen, Y., Xiong, Z., Kang, J., Niyato, D., Qiao, X., & Wu, Y. (2022). 6G-enabled edge AI for metaverse: Challenges, methods, and future research directions. Journal of Communications and Information Networks, 7(2), 108-121.
[20] Bandara, E., Foytik, P., Shetty, S., & Hassanzadeh, A. (2024). Generative-AI (with Custom-Trained Meta’s Llama2 LLM), Blockchain, NFT, Federated Learning and PBOM enabled Data Security Architecture for Metaverse on 5G/6G Environment. In 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS) (pp. 118-131). IEEE.
[21] Saad, W. (2023). Unlocking the wireless metaverse with 6G and artificial intelligence (AI). In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC). IEEE.
[22] Aloqaily, M., Bouachir, O., Al Ridhawi, I., & Guizani, M. (2023). Native artificial intelligence in integrated terrestrial and non-terrestrial networks in 6G: Realizing the metaverse in the 6G era with AI-enabled network orchestration. IEEE Network, 37(2), 78-85.
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