Humanizing Technology With Emotional Intelligence

Tikadar, Subrata · Liu, Haipeng · Bhattacharya, Pronaya · Bhattacharya, Samit

Dec 2024 · IGI Global

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586

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Eligible

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About this ebook

In an era where technology permeates every aspect of our lives, the imperative for sentient systems has never been greater. This necessity stems from the recognition that effective human-computer interaction (HCI) transcends mere transactional exchanges, aspiring instead to foster connections that are as nuanced and empathetic as those between humans. Emotional intelligence in computing systems, therefore, is not a luxury but a prerequisite for creating technologies that enhance, rather than hinder, our daily lives. Affective computing, the interdisciplinary domain at the heart of this endeavor, bridges the gap between human emotional experience and computational technology, aiming to imbue machines with the ability to detect, interpret, and respond to human emotions.

Humanizing Technology With Emotional Intelligence delves into the why and how of incorporating emotional intelligence into computing systems. The book provides a comprehensive overview of both the theoretical foundations and the practical applications of affective computing in HCI. Covering topics such as automotive safety, holistic student development, and social robotics, this book is an excellent resource for academicians, researchers, graduate and postgraduate students, software developers, product managers, and more.

About the author

Subrata Tikadar is currently working as an Assistant Professor Research & Innovation in the Amity School of Engineering and Technology Kolkata, Amity University Kolkata, India. Prior to joining the Amity, he was associated with Vellore Institute of Technology Andhra Pradesh, India, Aliah University Kolkata, India, Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology) Kolkata, India, Central Institute of Technology Kokrajhar, Assam, India, Bengal College of Engineering and Technology Durgapur, India, and Kingstone Engineering College Kolkata, India. He has around 12 years of teaching and research experience. Dr. Tikadar completed his BE in Computer Science and Engineering from the University Institute of Technology Burdwan University (UIT-BU), India, M.Tech in Computer Science and Engineering (Specialized in Multimedia and Software Systems) form National Institute of Technical Teachers Training and Research Kolkata (NITTTR Kolkata), India, and PhD in Computer Science and Engineering (Specialized in Human-Computer and Interaction) form Indian Institute of Technology Guwahati (IIT Guwahati), India. He is currently an active researcher in the field of Human-Computer Interaction, particularly in Advanced Learning Technology, Affective Computing, AR-VR-MR, Brain-Computer Interaction, and Interdisciplinary and Multidisciplinary interactive sensitive system design. Dr. Tikadars remarkable awards and recognition include the Best PhD Thesis Award (in the 23rd Convocation of IIT Guwahati, India), Best Research Paper Award by IEEE Technical Committee on Learning Technology (in the 19th IEEE International Conference on Advanced Learning Technologies (ICALT 2019, Maceio, Brazil) organized by the IEEE Computer Society and the IEEE Technical Committee on Learning Technology, Scholarship from IFIP TC13 on HCI, and the IFIP Digital Equity Committee to present research papers in INTERACT 2019 Paphos, Cyprus, and a Special Recognition from ACM SIGCHI for Outstanding Research Paper Review. He is a program committee member of many international top-tier conference including 22nd ACM International Conference on Multimodal Interaction (ICMI), Utrecht, the Netherlands, and 23rd ACM International Conference on Multimodal Interaction (ICMI), Montreal, Canada. Dr. Tikadar is associated with many professional organizations that include ACM, IEEE, IEEE Computer Society Technical Committee on Learning Technology, and many more.

Haipeng Liu received his Bachelor and Master in Engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. He is the author of over 60 journal articles and 10 conference papers. He has delivered 12 invited talks for international conferences, universities, and research institutes. He is a receiver of two British Heart Foundation Travel Awards, a Director of Studies (Dos) of two PhD students, and an editorial member of six academic journals. He is a reviewer of more than 60 articles from 24 journals, 4 international conferences, and one book proposal. His research interests include biomechanics, physiological measurement, and computational simulation of cardiovascular diseases.

Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or coauthored more than 140 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. Some of his top-notch findings are published in reputed SCI journals, such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Computational Social Systems, IEEE Transactions of Network and Service Management, IEEE Access, IEEE Sensors Journal, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, ETT (Wiley), Expert Systems (Wiley), CCPE (Wiley), FGCS (Elsevier), OQEL (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. He has an H-index of 34 and an i10-index of 74. He has edited ten books and is currently editing eight books from famed publishers like IGI Global, Elsevier, and Springer. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He is listed as Top 2% scientists as per list published by Stanford University. He has been appointed at the capacity of a keynote speaker, a technical committee member, and the session chair across the globe. He was awarded ten Best Paper Awards in Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 45 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network magazine, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), WPC (Springer), and others.

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