Practical Applications of Smart Human-Computer Interaction

Smart Human-Computer Interaction (HCI) evolves from theoretical research into a field with broad practical applications. By integrating advanced technologies such as AI, machine learning, natural language processing, and sensor-based systems, smart HCI enables more intuitive, adaptive, and personalized interactions between humans and machines. These innovations transform industries, from healthcare and education to automation and smart homes, by enhancing usability, increasing efficiency, and improving user experience. Further exploration into how smart HCI is practically applied may help address modern challenges in technological development. Practical Applications of Smart Human-Computer Interaction explores the integration of smart technology in various sectors, such as healthcare, business, and education. It examines the effects of technology on human living, behavior, and industrial development. This book covers topics such as e-commerce, Internet of Things, and smart homes, and is a useful resource for business owners, computer engineers, academicians, researchers, and cognitive scientists.

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.

Rabi Shaw is an accomplished academic with a strong foundation in Computer Science and Engineering. He earned his B.Tech and M.Tech degrees from the University Institute of Technology, Burdwan, and Jadavpur University, Kolkata, respectively, followed by a Ph.D. from the National Institute of Technology Rourkela in 2023. His teaching career began at the Aryabhatta Institute of Engineering & Management, Durgapur, and continued at the National Institute of Technology Jamshedpur before joining Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Department of Information Technology. Dr. Rabi Shaw is an accomplished academic with a strong foundation in Computer Science and Engineering. He earned his B.Tech and M.Tech degrees from the University Institute of Technology, Burdwan, and Jadavpur University, Kolkata, respectively, followed by a Ph.D. from the National Institute of Technology Rourkela in 2023. His teaching career began at the Aryabhatta Institute of Engineering & Management, Durgapur, and continued at the National Institute of Technology Jamshedpur before joining Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Department of Information Technology. Dr. Shaw has made notable contributions to journals such as Future Generation Computer Systems, Expert Systems with Applications, Cognitive Computation, and Biomedical Signal and Control. His work has also been recognized at ICALT. His research interests span Educational Technology with Cognitive Science, Human-Computer Interaction, Signal Processing, Recommender Systems, and the transformative fields of Machine Learning and Deep Learning.