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Human-Centered Metaverse
Concepts, Methods, and Applications
- 1st Edition - November 5, 2024
- Editors: Chang S. Nam, Donggil Song, Heejin Jeong
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 1 9 9 6 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 1 9 9 7 - 9
Human-centered Metaverse: Concepts, Methods, and Applications is a valuable resource in the understanding of the metaverse and the factors that influence human-AI interacti… Read more
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Request a sales quoteHuman-centered Metaverse: Concepts, Methods, and Applications is a valuable resource in the understanding of the metaverse and the factors that influence human-AI interaction. It provides an up-to-date repository of theory, fundamentals, techniques, and diverse applications, and comprehensively addresses recent and rapid changes in the field of human-centered metaverse. Interest in the human-centered metaverse has grown enormously, including from researchers and practitioners in the areas of extended reality (e.g., VR, AR, MR, etc.), learning technologies, human-computer interaction, education, psychology and sociology, and philosophy.
- Offers a unique review of extensive research on human-centered metaverse technology
- Provides an in-depth look at the different methods and techniques used to investigate human-human or human-AI interaction in virtual space
- Features a repository of the open questions and challenges in human cognition (e.g., trust, emotion, motivation, etc.) in human-centered metaverse today
- Explores theories, models, and empirical findings about ways in which human-centered metaverse changes or operates in social interaction in virtual space
- Investigates human factors, human-system integrations, and human-computer interface concerns in the design, development and evaluation of human-centered metaverse applications
Computer Science and Engineering, Learning Sciences and Technology, Machine Learning, Industrial and Systems Engineering, Artificial Intelligence, Gaming, Music, e-commerce Manufacturing, Sociology, Healthcare, Psychology, Mechanical Engineering, Fashion, Retail, Sports, Fitness, Real estate, Financial services, Cybersecurity, Movie
- Human-Centered Metaverse
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- About the editors
- Foreword
- Preface
- Chapter 1 A brief history of the Metaverse: From early beginnings to the cutting edge
- Abstract
- Keywords
- 1 Introduction
- 2 Origins and development of virtual worlds
- 3 A short history of the internet and social media
- 4 The emerging Metaverse: Definitions and research before 2021
- 5 Modern history: Post-2021
- 6 Conclusions
- References
- Part 1: Advancement in Metaverse technology
- Chapter 2 What if we have Metaverse GPT? Content singularity and human-Metaverse interaction in the AIGC era
- Abstract
- Keywords
- 1 Retrospect: Experimental Metaverse
- 1.1 Metaverse
- 1.2 AI-generated content (AIGC)
- 2 Content singularity
- 2.1 Harbour
- 3 Human-Metaverse interaction
- 4 Toward AIGM framework
- 5 Concluding remarks
- References
- Chapter 3 Avatar facial emotion recognition based on machine learning techniques
- Abstract
- Keywords
- 1 Introduction
- 2 Literature review
- 3 Preliminaries
- 3.1 Metaverse
- 3.2 Metaverse avatar
- 4 The proposed avatar facial emotional recognition (AFER)
- 4.1 Dataset description phase
- 4.2 Avatar face detection
- 4.3 Classification of avatar emotional phase
- 5 The measures of performance evaluation phase
- 6 Experiments and discussion
- 6.1 Experiments of avatar face detection
- 6.2 Experiments of avatar emotional recognition classification
- 6.3 Discussion
- 7 Conclusion and future work
- References
- Chapter 4 Intelligent virtual characters, AGI, and the future of Metaverse
- Abstract
- Keywords
- 1 Introduction to intelligent virtual characters and the future
- 2 Chatbots and LLMs as the next phase of human interface for the Internet
- 3 AI, virtual characters in science fiction
- 4 Chatbots, LLMs, and virtual characters: A quick look back
- 5 An architecture for virtual characters
- 5.1 Smart NPCs, generative agents, and AI societies
- 6 AGI and consciousness
- 7 AGI via virtual characters and the Metaverse
- 8 Projecting to the future: Not just AGI but Metaverse-centric human interface
- 9 Science fiction fears of superintelligence
- References
- Chapter 5 AI engineering in the Metaverse for human learning and performance
- Abstract
- Keywords
- 1 Delineating boundaries of the Metaverse
- 2 Application cases: Metaverse for human learning and performance improvement
- 2.1 K-12 education
- 2.2 Higher education
- 2.3 Professional and corporate training
- 3 Why Metaverse for human learning and performance?
- 4 AI engineering in the Metaverse for human learning and performance
- 4.1 An example case of AI engineering in the Metaverse: Howdy SMILE
- 5 Future directions and conclusion
- References
- Part 2: Applications of human-centered Metaverse
- Chapter 6 Metaverse applications in South Korean higher education: Evaluation of Metaversity platform based on HCI principles
- Abstract
- Keywords
- 1 Introduction
- 1.1 Metaverse applications in South Korean higher education
- 1.2 Effectiveness studies on South Korean Metaverse platforms
- 1.3 The case of Metaversity platform
- 2 Methods
- 2.1 Research procedure
- 2.2 Instrument
- 2.3 Selection of experts
- 2.4 Expert evaluation (round 1)
- 2.5 Iterative rounds
- 2.6 Data analysis
- 3 Results
- 3.1 Educational usefulness
- 3.2 System usability
- 3.3 Feelings
- 4 Discussion
- 5 Conclusion
- References
- Chapter 7 Application of Metaverse to creative engineering—From Second Life to VR headset projects
- Abstract
- Keywords
- 1 Introduction
- 2 The development of the Metaverse for science
- 3 The application of Metaverse to education
- 4 Trial of creative education using Second Life
- 5 Evaluation methods for Metaverse utilization
- 6 New Metaverse applications using goggles and cardboards
- 7 Future scope
- References
- Chapter 8 Open standards: Design cornerstones of the Metaverse
- Abstract
- Keywords
- 1 From Internet to Metaverse
- 1.1 From ARPANET to dot-com bubble
- 1.2 Rebirth
- 1.3 Hidden (r)evolution
- 1.4 Openness is no accident
- 1.5 How is this related to Metaverse?
- 2 Search for new services
- 2.1 Fortnite: From battle royale to concert
- 2.2 Minecraft, Roblox and animal crossing
- 2.3 Summary
- References
- Chapter 9 Virtual fashion in Metaverse
- Abstract
- Keywords
- 1 Introduction
- 2 Elements of virtual fashion
- 3 Historical background of Metaverse
- 4 Key technologies of Metaverse
- 4.1 Hardware shaping the Metaverse
- 4.2 Artificial intelligence
- 4.3 Blockchain technology
- 5 Virtual avatar and virtual clothing for Metaverse
- 6 Fashion business opportunity in Metaverse
- 6.1 Opportunities for designers
- 6.2 Opportunity for fashion manufacturers and suppliers
- 6.3 Opportunity for brands and retailers
- 6.4 Opportunity for consumers
- 7 Conclusion
- References
- Chapter 10 Robotics in Metaverse
- Abstract
- Keywords
- 1 Operator support
- 2 Simulation
- 3 Robotics manipulation
- 4 Challenges of Metaverse in robotics
- 5 Future and conclusion
- References
- Chapter 11 Towards human digital twins for healthcare agent-based modeling in the Metaverse
- Abstract
- Keywords
- 1 Introduction
- 2 Agent-based modeling for healthcare in the Metaverse
- 2.1 Agent-based modeling in healthcare
- 2.2 Large-scale agent-based modeling in the Metaverse
- 2.3 Human digital twins as the core component of ABM in the Metaverse
- 3 The challenges
- 3.1 Challenges with scaling up ABM
- 3.2 Challenges with human digital twins in the Metaverse
- 4 Methods for identifying improvement areas in HDT cognitive systems
- 5 Results
- 6 Discussions
- 6.1 Cybonto for evaluating large language models’ cognitive computing capabilities
- 6.2 Cybonto for modern cognitive warfare simulations
- 6.3 Limitations
- 6.4 Ethics
- 7 Conclusion
- References
- Part 3: Human factors and standards in Metaverse
- Chapter 12 International standards for the Metaverse
- Abstract
- Keywords
- 1 Introduction
- 2 Terms and definitions
- 3 Concepts
- 4 Metaverse service areas and use cases
- 5 Requirements for Metaverse services
- 6 JTC 1 technology standards for the Metaverse
- 6.1 Virtual world
- 6.2 Humanoid avatar
- 6.3 VR/AR/MR-based information processing
- 6.4 Knowledge and semantic information processing
- 6.5 Cyber security, identity, and authorization for the Metaverse
- 6.6 AI Information processing for the Metaverse
- 6.7 ICT integration technologies within industry areas
- 7 Metaverse governance for safety and security
- 8 Concluding remarks
- References
- Chapter 13 Guidelines for educational uses of Metaverse
- Abstract
- Keywords
- 1 Introduction
- 2 Types and cases of educational Metaverse
- 2.1 Lecture type
- 2.2 Experience type
- 2.3 Discussion type
- 2.4 Problem-solving type
- 2.5 Development type
- 3 Methodology
- 4 Guidelines for educational uses of Metaverse
- 4.1 Understanding and exploration of educational Metaverse
- 4.2 Preparative considerations for educational Metaverse
- 4.3 Implementation of educational Metaverse
- 5 Conclusion
- References
- Chapter 14 Standard human-centric metrics for interpersonal Metaverse
- Abstract
- Keywords
- 1 Overview
- 2 Four scenarios of Metaverses: Virtual worlds, mirror worlds, lifelogging, and augmented reality
- 2.1 Virtual worlds
- 2.2 Mirror worlds
- 2.3 Lifelogging
- 2.4 Augmented reality
- 2.5 Combining multiple scenarios
- 3 Developing human-centric metrics for interpersonal Metaverse
- 3.1 Immersiveness in Metaverse
- 3.2 Usability in Metaverse
- 3.3 Social capability in Metaverse
- 3.4 Creative capability in Metaverse
- 3.5 Perceived privacy & security in Metaverse
- 4 Conclusion
- References
- Index
- No. of pages: 400
- Language: English
- Edition: 1
- Published: November 5, 2024
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780443219962
- eBook ISBN: 9780443219979
CN
Chang S. Nam
Chang S. Nam is currently a Professor of Industrial and Systems Engineering at North Carolina State University (NCSU), USA. He is also an associated faculty in the UNC/NCSU Joint Department of Biomedical Engineering, Department of Psychology, and Brain Research Imaging Center (BRIC) at UNC. He received a PhD at Virginia Tech. His research interests center around brain-computer interfaces, computational neuroscience, neuroergonomics, and human-AI/Robot/Automation interaction. He is the editor of “Brain-Computer Interfaces Handbook: Technological and Theoretical Advances” (with Drs. Nijholt and Lotte, CRC Press), “Neuroergonomics: Principles and Practices (Springer), “Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity (with Contreras-Vidal et al., Springer), “Trust in Human-Robot Interaction: Research and Applications” (with Lyons, Elsevier), and “Human-centered AI: Research and Applications” (with Jung & Lee, Elsevier). Currently, Nam serves as the Editor-in-Chief of the journal Brain-Computer Interfaces.
Affiliations and expertise
Professor, North Carolina State University, USADS
Donggil Song
Donggil Song is Associate Professor of Engineering Technology & Industrial Distribution, College of Engineering, Texas A&M University. His research lab (Einbrain Lab, www.einbrain.com) focuses on artificial intelligence (AI) engineering for human learning, human-centred AI, machine learning (ML)-based mixed-reality (MR) AI systems. His research interests are geared towards creating systems by utilising AI/ML and natural language processing while focusing on facilitating human learning. Currently, his primary research includes the applications of virtual human systems in MR environments. From a methodological standpoint, his research interest has been on the synergies and integrations between AI engineering and learning technologies research methods. He holds a Ph.D. in Instructional Systems Technology from Indiana University, an M.S. in Computer Science and Engineering, and a B.A. in Religious Studies from Seoul National University (SNU), and also completed a master’s program in Cognitive Science at SNU. Presently, he serves as the Managing Editor of The International Journal of Multiple Research Approaches.
Affiliations and expertise
Associate Professor, Texas A&M University, USAHJ
Heejin Jeong
Heejin Jeong is an Assistant Professor of human systems engineering in The Polytechnic School. His primary research supports human decision-making in interactions with autonomous and intelligent systems. He seeks to apply multiple engineering methodologies (e.g., experimental, human performance modelling, and data analytics and visualisation) to addressing societal problems in human-system engineering domains including transportation, robotics, healthcare, and emerging technologies (e.g., augmented/virtual reality, artificial intelligence). His focuses include extended reality systems for occupational safety enhancement and healthcare rehabilitation training and human-robot collaboration in Industry 4.0 manufacturing systems. He received his PhD in Industrial and Operations Engineering from the University of Michigan.
Affiliations and expertise
Assistant Professor, Arizona State University, USA