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Driving Smarter Human-Computer Interaction With Multidisciplinary Personalized Systems

Subrata Tikadar Joel José Puga Coelho Rodrigues Rabi Shaw Ahdi Hassan

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Hardback

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English
Engineering Science Reference
06 August 2025
As digital systems become increasingly embedded in everyday life, there is a critical demand for more intuitive, responsive, and personalized interactions. As these problems begin to grow, so does the importance of creating intelligent and pro-user technologies that adapt to individuals needs and contexts. By integrating insights from multiple disciplines, personalized systems transform how users engage with technology, enhance accessibility, improve decision-making, and foster seamless digital experiences tailored to diverse users and environments. Driving Smarter Human-Computer Interaction With Multidisciplinary Personalized Systems explores how modern technology can create more intuitive and responsive interaction in computing systems. This book examines the collaboration between experts in affective computing, neuroscience, and human-computer interaction, leading to groundbreaking innovations in how machines respond to human needs. Covering topics such as AI accessibility, personalized experiences, and virtual technologies, this book is an excellent resource for practitioners, computer scientists, researchers, academicians, and more.
Edited by:   , , , ,
Imprint:   Engineering Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 18mm
Weight:   721g
ISBN:   9798337314440
Pages:   600
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

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.

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