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B01=Chang S. Nam
B01=Donggil Song
B01=Heejin Jeong
Category1=Non-Fiction
Category=UYZ
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Human-Centered Metaverse: Concepts, Methods, and Applications

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 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. See more
Current price €151.99
Original price €159.99
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Age Group_Uncategorizedautomatic-updateB01=Chang S. NamB01=Donggil SongB01=Heejin JeongCategory1=Non-FictionCategory=UYZCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 12 Dec 2024

Product Details
  • Weight: 450g
  • Dimensions: 191 x 235mm
  • Publication Date: 12 Dec 2024
  • Publisher: Elsevier Science & Technology
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443219962

About

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 masters 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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