Synopsis
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 Authors
Dr. 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. Tikadar's 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 is currently a Research Fellow with the Research Centre for Intelligent Healthcare, Coventry University. He received his 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. His research interests include wearable sensing, physiological measurement, AI-assisted diagnostics, and computational simulation of cardiovascular diseases. He is the author of over 60 journal articles and 11 conference papers, and is open for collaboration in healthcare technologies and medical data analytics.
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