Emotionally Intelligent Digital Workplaces: Artificial Intelligence, Emotional Intelligence and Work-Life Harmony

authored by Subham Mahajan
Forthcoming
Language: English | Imprint: NIPA

Hardcover

ISBN: 9788167421258
Pages: 320 | Length: 152 mm | Breadth: 21.8 mm | Height: 229 mm | Weight: 600 GSM
Print Book Price: 210.00 USD (Get 10% OFF)
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This book will be available from 31-Dec-2026

EBook

EISBN: 9788167421265
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eChapter

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Emotionally Intelligent Digital Workplaces: Artificial Intelligence, Emotional Intelligence and Work-Life Harmony explores the emerging intersection of artificial intelligence, emotional intelligence and human well-being in digitally enabled work environments. The book examines how AI is moving beyond automation and data-driven decision-making toward systems capable of recognizing, interpreting and responding to human emotions. It discusses affective computing, emotion recognition, human-AI collaboration, knowledge graphs, generative AI, multimodal sensing, adaptive interfaces and AI-powered approaches to work-life harmony.

The volume also addresses digital fatigue, emotional labour, employee well-being, digital detox, teacher well-being and AI-enabled education, while examining human-centred AI applications in retail and financial markets. Its later chapters extend the discussion to the technological infrastructure required for next-generation intelligent systems, including blockchain-assisted IoT security, heterogeneous system-on-chip architectures and FPGA-based spiking neural networks. Through this multidisciplinary approach, the book presents emotionally intelligent technology not merely as an automation tool, but as a means of supporting empathy, well-being, responsible innovation and sustainable productivity in digital workplaces.

Chapter 1. Understanding Emotional Intelligence in the Digital Era

Chapter 2. Emotional Intelligence in the Digital Age: Challenges, Adaptation, and Emerging Competencies

Chapter 3 Human Emotions and Artificial Intelligence: A Novel Partnership

Chapter 4. Emotion-Aware Artificial Intelligence for Employee Well-Being: A Human-Centred Review Framework for Digital Workplaces

Chapter 5. AI-Powered Work-Life Harmony Model Suggestion

Chapter 6. Causal Disentanglement of Emotional Labor: A Generative Framework for AI-enabled Work-Life Harmony

Chapter 7. A Knowledge Graph-Driven Framework for Emotional Intelligence in Social Network-Based Digital Environments

Chapter 8. Human-Centered Offline Voice Automation for Digital Workspace Well-Being: Reducing Cognitive Load, Auditory Fatigue, and Emotional Strain through Emotionally-Aware Adaptive Interfaces

Chapter 9. Digital Detox as a Pathway to Emotional Well-Being and Work-Life Harmony

Chapter 10. Artificial Intelligence, Teacher Well-Being, and Work-Life Harmony in Digital Academic Environments

Chapter 11. Assessing the Effectiveness of AI-Based Educational Tools: An Integrated BWM–TOPSIS Approach

Chapter 12. Advancing Phygital Customer Experience through Human-Centric Artificial Intelligence: A Socio-Technical Alignment Framework

Chapter 13. TradeVision AI: A Multi-Modal Intelligent Trading Signal System for Indian Financial Markets

Chapter 14. Blockchain-Assisted Multi-Processor Firmware Verification Architecture for Secure and Reliable IoT Systems

Chapter 15. Performance Portability in Heterogeneous SoCs Using a Component-Based Library-Oriented Programming and Machine Learning Runtime

Chapter 16. NeuroFlow: FPGA-Reconfigurable Spiking Neural Network Framework for Large-Scale Simulation

Keywords

Emotionally intelligent digital workplaces, artificial intelligence and emotional intelligence, AI and work-life harmony, emotional intelligence in the digital age, human-centred artificial intelligence, affective computing, emotion-aware AI, AI for employee well-being, digital workplace well-being, AI and workplace emotional intelligence, multimodal emotion recognition, emotional AI and digital transformation, AI and employee well-being, digital emotional intelligence, AI-enabled work-life balance, generative AI and emotional intelligence, human-AI collaboration, AI in education and teacher well-being, AI for customer experience, responsible and ethical AI.