Emotional Intelligence-Driven Engineering by Abhishek Kumar (.ePUB)+
File Size: 81.1 MB
Emotional Intelligence-Driven Engineering by Abhishek Kumar, Suman Lata Tripathi, Inung Wijayanto, Sugondo Hadiyoso
Requirements: .ePUB, .PDF reader, 81.1 MB | True PDF, True EPUB
Overview: In a digital age where technical expertise is no longer enough, this book provides the essential tools to integrate empathy, psychology, and neuroscience into your design process for a deeper human-technology connection. Engineering has traditionally prioritized functional and technical factors, enhancing equipment for reliability, effectiveness, and efficiency. However, a dramatic perspective shift is changing the way technologies are created, developed, and implemented, as well as how we interact with them. This book provides an innovative perspective on the design and development of systems, services, and products by investigating the significant confluence of engineering, technology, and emotional intelligence. In the growing digital age of today, technological expertise is no longer sufficient to satisfy the wide range of consumer demands. It is equally important to comprehend, predict, and account for human emotion. This book incorporates the interdisciplinary method known as emotion-driven engineering, which includes emotional intelligence in the design, development, and implementation of engineering solutions. Based on disciplines including human-computer interface, design thinking, psychology, and neuroscience. This book provides an efficient framework for developing products that connect with consumers. With both theoretical ideas and practical applications, the book is organized to help engineers, designers, and technologists integrate emotional awareness and empathy into their work. Emotions are fundamental to human communication, influencing decisions, relationships, and interactions, yet machines struggle to interpret them accurately. Advances in Deep Learning have opened new possibilities for emotion detection, making AI more intuitive and responsive. Emotion-aware AI can revolutionize fields like mental health support, customer service, virtual assistants, and human-computer interactions by making them more adaptive and engaging. This study explores Deep Learning methods like Convolutional neural networks (CNNs) to recognize facial expressions and advanced Natural language processing (NLP) models to identify emotions in text and speech.
Genre: Non-Fiction > Tech & Devices
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