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Emotional Intelligence-Driven Engineering.
- Format:
- Book
- Author/Creator:
- Kumar, Abhishek.
- Language:
- English
- Subjects (All):
- Human engineering.
- Physical Description:
- 1 online resource (583 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Newark : John Wiley & Sons, Incorporated, 2026.
- Summary:
- 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.
- Contents:
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Chapter 1 Exploring Emotional Intelligence in Design Thinking
- Chapter 2 Exploring the Integration of Emotion and Engineering: An In-Depth Analysis of Emotional Intelligence in Design and Its Impact on Human-Centered Engineering Practices
- Chapter 3 The Integration of Emotion and Engineering
- Chapter 4 Emotional Intelligence in AI: Bridging the Gap between Humans and Machines
- Chapter 5 Emotionally Intelligent AI Assistants: Machine Learning for Enhanced Human-AI Interaction
- Chapter 6 Emotionally Intelligent Assistants with Machine Learning
- Chapter 7 Emotion AI: Advancing Emotional Recognition with Machine Learning
- Chapter 8 Emotion-Sensitive Deep Learning Models
- Chapter 9 Deep Learning for Emotion Detection: Making Machines Feel
- Chapter 10 Emotion-Aware AI for Facial Expression Analysis to Enhance Workforce Well-Being in Industry 4.0
- Chapter 11 Emotion-Based Music Recommendation System
- Chapter 12 Emotional Sensors: Emotion-Driven IoT
- Chapter 13 Neuro-IoT: Merging Brain Signals with Smart Electronics
- Chapter 14 Personalized Voice Assistant with Emotional Intelligence Using NLP and GCP
- Chapter 15 Emotional Algorithms - Machines to Understand Human Feelings
- Chapter 16 Emotional Indicators in Cybersecurity: Developing a Framework for Early Insider Threat Detection
- Chapter 17 The Role of Cobots in Shifting from Automation to Collaboration
- Chapter 18 Enhancing Quality Control and Predictive Maintenance with Data Insights
- Chapter 19 Emotion Detection Using Pre-Trained CNN Models: A Deep Learning Approach with Real-Time Implementation
- Chapter 20 Emotionally Intelligent AI Assistant Powered by Machine Learning and NLP.
- Chapter 21 Neuro-IoT and Emotion Recognition: Merging Brain Signals with Smart Electronics for Emotionally Intelligent Systems
- Chapter 22 EmoHeart: Human-Centered First-Emotion Smart IoT Devices for Cardiology
- Chapter 23 Natural Bioactive Compounds as Cardioprotective Agents: A Promising Avenue for Heart Health
- Index
- Also of Interest
- EULA.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781394389889
- OCLC:
- 1602091157
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