Metaverse for Industry 5.0 (eBook, PDF) - Majumder, Soumi; Dey, Nilanjan
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This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet…mehr

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Produktbeschreibung
This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.

Autorenporträt
Soumi Majumder is a research scholar in the Department of Business and Accounting at Lincoln University College, Malaysia. She is an assistant professor at the Future Business School, Future Institute of Engineering and Management, Kolkata, India. Previously, she was associated with Sister Nivedita University, Techno India College of Technology, NSHM College of Management and Technology, J D Birla Institute of Science and Commerce, West Bengal State Labor Institute, Siliguri, DAITM and many more B Schools. She has 8 years of experience in academia and 2 years of industrial experience. She has 4 authored books, 2 edited books and more than 22 research papers in national and international conferences and journals in the areas of quality work-life, decent work-life, work-life balance, stress management, employee engagement, job satisfaction, leadership, training, learning, knowledge management, people management, safety management, entrepreneurship, etc. She has 3 copyrights from the Government of India for her research work. She is the reviewer for various national and international journals. Furthermore, she is a member of the AIMA, IS, SDIWC and NIPM.

Nilanjan Dey is an Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow at the University of Reading, UK. He was an honorary visiting scientist at Global Biomedical Technologies, Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 70 books with Elsevier, CRC Press and Springer and has published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis, CRC. His main research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining. He is a Fellow of IETE and Senior Member of IEEE.