Emotional Intelligence and Human-Machine Interaction in Advanced Hardware Systems

Emotional Intelligence and Human-Machine Interaction in Advanced Hardware Systems book cover

Emotional Intelligence and Human-Machine Interaction in Advanced Hardware Systems

Author(s): Chandra Singh (Editor), Rathishchandra R. Gatti (Editor)

  • Publisher: Wiley-Scrivener
  • Publication Date: September 8, 2026
  • Edition: 1st
  • Language: English
  • Print length: 592 pages
  • ISBN-10: 1394384807
  • ISBN-13: 9781394384808

Book Description

Unlock the future of human-machine collaboration with this essential guide to designing, optimizing, and deploying the next generation of emotionally intelligent hardware systems built for the Industry 5.0 landscape.

In today’s industrial landscape, there is a newly discovered necessity for frameworks that perform seamlessly while collaborating with other devices. This book explores the integration of emotional intelligence and human-machine interaction within the framework of Industry 5.0, emphasizing the role of advanced hardware systems and their design and optimization.

It highlights how emotionally intelligent systems can foster seamless collaboration between humans and machines, leveraging next-generation hardware technologies such as IoT-enabled devices, robotics, wearable systems, and AI-driven hardware platforms. The volume covers topics including adaptive hardware for personalized human-machine interaction, sensor-based emotional recognition, the design and optimization of intelligent hardware systems, and ethical considerations in human-machine collaboration.

This work underscores the importance of creating efficient, reliable, and emotionally responsive systems through strategic hardware design and iterative optimization processes. Combining interdisciplinary insights into emotional intelligence, human-centered design, hardware innovation, and optimization strategies, this essential guide offers practical applications and theoretical frameworks to transform industries.

Editorial Reviews

Editorial Reviews

From the Back Cover

Unlock the future of human-machine collaboration with this essential guide to designing, optimizing, and deploying the next generation of emotionally intelligent hardware systems built for the Industry 5.0 landscape.

In today’s industrial landscape, there is a newly discovered necessity for frameworks that perform seamlessly while collaborating with other devices. This book explores the integration of emotional intelligence and human-machine interaction within the framework of Industry 5.0, emphasizing the role of advanced hardware systems and their design and optimization.

It highlights how emotionally intelligent systems can foster seamless collaboration between humans and machines, leveraging next-generation hardware technologies such as IoT-enabled devices, robotics, wearable systems, and AI-driven hardware platforms. The volume covers topics including adaptive hardware for personalized human-machine interaction, sensor-based emotional recognition, the design and optimization of intelligent hardware systems, and ethical considerations in human-machine collaboration.

This work underscores the importance of creating efficient, reliable, and emotionally responsive systems through strategic hardware design and iterative optimization processes. Combining interdisciplinary insights into emotional intelligence, human-centered design, hardware innovation, and optimization strategies, this essential guide offers practical applications and theoretical frameworks to transform industries.

About the Author

Chandra Singh, PhD,is an Assistant Professor in the Department of Electronics and Communications Engineering at Nitte University. He has published more than eight books, more than 30 papers in international journals, and eight patents. His research interests include optical communication, networking, and wireless communication.

Rathishchandra R. Gatti, PhD,is a Professor and Head of the Department of Mechanical Robots and Engineering at Nitte University. He has published more than seven books, more than 30 papers in international journals, and 15 patents. His research focuses on physical and medical AI and robotics.

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