Skip to main content
View Cart

Human-Centered Metaverse

Concepts, Methods, and Applications

  • 1st Edition - November 5, 2024
  • Latest edition
  • Editors: Chang S. Nam, Donggil Song, Heejin Jeong
  • Language: English

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

Early spring sale

Nurture your knowledge

Grow your expertise with up to 25% off trusted resources.

Shop now

Description

Human-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.

Key features

  • 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

Readership

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

Table of contents

PART I: Metaverse Fundamentals

1. Metaverse: Augmented reality, Lifelogging, Mirror worlds, Virtual worlds

2. History of Human-centric Metaverse

3. Standardization and specification of Metaverse

4. Criticism and concerns

PART II: Advancement in Metaverse Technology

5. Platforms and contents in Metaverse

6. Digital human in Metaverse

7. Transitions between different platforms

PART III: Applications of Human-centred Metaverse
Section A: Education and Academic Fields

8. Extended classrooms and schools

9. Simulation-based learning

10. Online conferencing

Section B: Business, Entertainment, and Sports

11. Hiring and recruitment

12. Employee training and development

13. Metaverse as new work environments

Section C: Human Factors in Metaverse

14. Measures and Assessments in Metaverse

15. Remote collaboration in Metaverse

PART IV: Culture, Ethics, and Diversity in Metaverse

16. Privacy and security issues in Metaverse

17. Diversity and equity in Metaverse

18. Ethical and philosophical consideration in the Metaverse society

PART V: Future of Work in Metaverse

19. Future technology development for seamless Metaverse experiences

20. Governance, laws, and compliances for people in Metaverse

21. Human-AI cohabitation Author Index Subject Index

Product details

  • Edition: 1
  • Latest edition
  • Published: November 5, 2024
  • Language: English

About the editors

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, USA

DS

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, USA

HJ

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

View book on ScienceDirect

Read Human-Centered Metaverse on ScienceDirect