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Full Description
Emotional Artificial Intelligence: Practical Challenges and Applications explores the intersection of artificial intelligence and human emotions, challenging the myth that AI will replace humans. Instead, it emphasizes how emotional AI can enhance collaboration, improving efficiency across fields like healthcare, transportation, and space exploration. The book explores the foundational theories such as Goleman's emotional model and Ekman's emotion theory, discussing methodologies for understanding human emotions through natural language processing and the ethical implications of AI in decision-making. It showcases real-world applications, from virtual nurses to emotion-aware driving systems, illustrating how these technologies can improve daily interactions and outcomes. This essential resource equips researchers, practitioners, and policymakers with practical insights for integrating emotional AI into diverse domains. By addressing the complexities of human emotion recognition and ethical frameworks, it provides a forward-looking perspective on enhancing collaboration between humans and AI, ultimately driving improved productivity and efficiency.
Contents
1. Overview of Emotional Intelligence in AI: Practical Challenges and Applications
2. Human Intelligence Vs Artificial Emotional Intelligence: Exploring Scope and Limitations
3. Recent Advancements and Techniques in Natural Language Processing and Emotion-Based Decision Making in AI
4. Exploring Emotions and Sentiment Analysis in AI: An Evolutionary Algorithm-Based Perspective
5. Fully Automated Vs Semi-Automated Transportation Systems: A Comparative Study on Collaborative Models
6. Integration of Data Analytics and Machine Learning: An Evolution of Emotional AI
7. Ethical and Legal Standards, Policies and Regulations in Emotional AI: Myths and Realities
8. Unleashing the Potential of AI with Human Doctors: Role of Patient Diagnosis with Ensemble Models
9. Generative Adversarial Networks (GAN) in AI: A New Paradigm of Exploring Human Space
10. Uncertainty Handling Using AI with Humans for Language Models: Designing Text Models for the Specially Challenged
11. Case Study on Emotional AI in Travel Management: Predictions and Suggestions
12. Case Study on Emotional Intelligence in Online Shopping Based on Reviews and Feedback Mechanisms
13. Case Study on Gesture-Based Emotion AI in Blood Pressure Detection: Revolution in Healthcare Sectors
14. Case Study on Emotional AI in Waste Management in Smart Cities
15. Case Study on Ads Posting in Social Media Based on Emotional AI: An Individual-Centric Perspective
