Human-centered interaction in virtual worlds: A new era of generative artificial intelligence and metaverse
Publication Type
Journal Article
Publication Date
2-2024
Abstract
The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the metaverse to address the gap in the existing literature where there is a lack of a survey that reviews the nature of the metaverse and its building blocks from a human-centric perspective. We first synthesize a definition of the metaverse from existing literature and delineate key affordances. We then introduce a detailed framework encompassing the metaverse’s nature, infrastructure technologies, and input/output technologies that facilitate multi-sensory HCI, alongside applications across diverse domains. The components within this framework are explained in depth, offering insights into the metaverse’s nature and the readiness level of current technologies. Based on this comprehensive analysis, we outline major open challenges and propose promising directions demanding further exploration and investigation. By clarifying the vision for the metaverse and characterizing the building blocks required to realize it, this review provides essential insights and serves as an invaluable resource for metaverse developers and researchers working to advance this transformative new medium.
Keywords
Metaverse, human-computer, interactiontechnical framework
Discipline
Artificial Intelligence and Robotics | Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
International Journal of Human-Computer Interaction
ISSN
1044-7318
Identifier
10.1080/10447318.2024.2316376
Publisher
Taylor and Francis Group
Citation
WANG, Yuying; WANG, Le; and SIAU, Keng.
Human-centered interaction in virtual worlds: A new era of generative artificial intelligence and metaverse. (2024). International Journal of Human-Computer Interaction.
Available at: https://ink.library.smu.edu.sg/sis_research/9346
Additional URL
https://doi.org/10.1080/10447318.2024.2316376