A Context-Aware Onboarding Agent for Metaverse Powered by Large Language Models

Hong, Jihyeong; Lee, Yokyung; Kim, Dae Hyun; Choi, DaEun; Yoon, Yeo-Jin; Lee, Gyu-cheol; Lee, Zucheul; Kim, Juho

doi:10.1145/3643834.3661579

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2024

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Cited by 2 publications

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Revealing the Difficulty in Jailbreak Defense on Language Models for Metaverse

Kang,

Liu,

Zheng

et al. 2024

Proceedings of the Third International Workshop on Social and Metaverse Computing, Sensing and Networking

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Revealing the Difficulty in Jailbreak Defense on Language Models for Metaverse

Kang,

Liu,

Zheng

et al. 2024

Proceedings of the Third International Workshop on Social and Metaverse Computing, Sensing and Networking

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Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: Technologies, Applications, Challenges, and Future Directions

Lifelo,

Ding,

Ning

et al. 2024

Electronics

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Rapid urbanisation has intensified the need for sustainable solutions to address challenges in urban infrastructure, climate change, and resource constraints. This study reveals that Artificial Intelligence (AI)-enabled metaverse offers transformative potential for developing sustainable smart cities. AI techniques, such as machine learning, deep learning, generative AI (GAI), and large language models (LLMs), enhance the metaverse’s capabilities in data analysis, urban decision making, and personalised user experiences. The study further examines how these advanced AI models facilitate key metaverse technologies such as big data analytics, natural language processing (NLP), computer vision, digital twins, Internet of Things (IoT), Edge AI, and 5G/6G networks. Applications across various smart city domains—environment, mobility, energy, health, governance, and economy, and real-world use cases of virtual cities like Singapore, Seoul, and Lisbon are presented, demonstrating AI’s effectiveness in the metaverse for smart cities. However, AI-enabled metaverse in smart cities presents challenges related to data acquisition and management, privacy, security, interoperability, scalability, and ethical considerations. These challenges’ societal and technological implications are discussed, highlighting the need for robust data governance frameworks and AI ethics guidelines. Future directions emphasise advancing AI model architectures and algorithms, enhancing privacy and security measures, promoting ethical AI practices, addressing performance measures, and fostering stakeholder collaboration. By addressing these challenges, the full potential of AI-enabled metaverse can be harnessed to enhance sustainability, adaptability, and livability in smart cities.

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A Context-Aware Onboarding Agent for Metaverse Powered by Large Language Models

Cited by 2 publications

References 42 publications

Revealing the Difficulty in Jailbreak Defense on Language Models for Metaverse

Revealing the Difficulty in Jailbreak Defense on Language Models for Metaverse

Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: Technologies, Applications, Challenges, and Future Directions

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