Название: Emotional Intelligence and Human-Machine Interaction in Advanced Hardware Systems
Автор: Chandra Singh, Rathishchandra R. Gatti
Издательство: Wiley-Scrivener
Год: 2026
Страниц: 671
Язык: английский
Формат: epub (true)
Размер: 21.2 MB

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.

Emotion recognition in robotics is an emerging field that enables robots to detect, interpret, and respond to human emotions using Artificial Intelligence (AI), computer vision, and sensor technologies. By analyzing facial expressions, voice tones, body language, and physiological signals, robots can enhance human–robot interaction (HRI) in applications like healthcare, customer service, and education. This capability allows robots to provide more personalized and empathetic responses, improving user experience and engagement. As robots become more integrated into daily life, emotion recognition plays a crucial role in making them socially intelligent. From companion robots assisting the elderly to AI-driven tutors adapting to student emotions, this technology bridges the gap between machines and human emotional understanding. However, challenges, such as accuracy, privacy, and real-time processing must be addressed to ensure ethical and effective implementation.

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.

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