AI-Driven Wellbeing to Enhance Lives and Work Environments (eBook)

Artikelnummer: 978-3-032-15735-5
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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The book examines how artificial intelligence (AI) is changing methods used by individuals and organizations to address wellbeing. The book examines the convergence of AI, psychology, workplace culture, and personal wellness, providing practical advice on utilizing technology to foster healthier, happier, and more efficient settings. The book emphasizes that AI technologies such as sentiment analysis, customized health applications, and intelligent wearables can track and enhance both physical and mental wellbeing. It explores algorithms that identify burnout, stress, and disengagement, enabling prompt interventions in personal and work settings. Real world case studies demonstrate how AI enhances communication, streamlines workloads, and creates work environments that improve employee contentment. The text explores the ways in which AI-powered platforms can tailor employee experiences, covering aspects such as mental health assistance and career growth. The book confronts ethical challenges head-on, discussing privacy issues, data security, and the need for transparency in implementing AI solutions connected to wellbeing. It anticipates upcoming trends such as emotional AI, predictive analytics for preventative health actions, and the merging of AI with human-centred leadership.

The book examines how artificial intelligence (AI) is changing methods used by individuals and organizations to address wellbeing. The book examines the convergence of AI, psychology, workplace culture, and personal wellness, providing practical advice on utilizing technology to foster healthier, happier, and more efficient settings. The book emphasizes that AI technologies such as sentiment analysis, customized health applications, and intelligent wearables can track and enhance both physical and mental wellbeing. It explores algorithms that identify burnout, stress, and disengagement, enabling prompt interventions in personal and work settings. Real world case studies demonstrate how AI enhances communication, streamlines workloads, and creates work environments that improve employee contentment. The text explores the ways in which AI-powered platforms can tailor employee experiences, covering aspects such as mental health assistance and career growth. The book confronts ethical challenges head-on, discussing privacy issues, data security, and the need for transparency in implementing AI solutions connected to wellbeing. It anticipates upcoming trends such as emotional AI, predictive analytics for preventative health actions, and the merging of AI with human-centred leadership.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2025
Seitenangabe167 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 167 p. 25 illus., 20 illus. in color.
Masse6'006 KB
PlattformPDF
ReiheStudies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorMajumder, Soumi / Dey, Nilanjan

Alle Bände der Reihe "Studies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor Soumi Majumder

Ms. Soumi Majumder is a Research Scholar in the Department of Business and Management at Lincoln University College, Malaysia, and an Assistant Professor at the Future Business School, Future Institute of Engineering and Management, Kolkata, India. She has over 10 years of academic and 2 years of industry experience and has previously served at institutions such as Sister Nivedita University, Techno India College of Technology, and NSHM College of Management and Technology. She has authored five books, including titles published by Springer Nature, Taylor & Francis, and Emerald, along with two edited volumes. Her research focuses on quality of work life, stress management, employee engagement, leadership, and entrepreneurship, with over 25 papers in reputed national and international journals and conferences. She holds one patent and four copyrights from the Government of India and serves as a reviewer for journals by Elsevier, Springer, Emerald, and Sage. Dr. Bitan Misra is currently working as an assistant professor in the department of Computer Science and Engineering at Techno International New Town, Kolkata, West Bengal, India. She has published more than 30 research papers in various international journals, book chapters and conferences. She has written five authored books in Springer Nature, Taylor & Francis, and Elsevier. She has served as reviewer in many peer-reviewed Journals and Conferences. She holds multiple patents and copyrights from the Government of India. She has also worked as Associate Editor in the International Journal of Ambient Computing and Intelligence (IJACI). Her main research interests include optimization techniques, deep learning, evolutionary algorithms and soft computing techniques. She is a member of IEEE and Internet Society.

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