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.

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

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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.

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.

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.

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