Table of Contents:
  • Chapter 1. Navigating the future: trends and applications in artificial intelligence and machine learning
  • Chapter 2. New theoretical paradigms in cognitive psychology
  • Chapter 3. A review of artificial emotional intelligence for human-computer interactions: applications and challenges
  • Chapter 4. Enhancing human-computer interaction through artificial emotional intelligence: a comprehensive multidisciplinary study
  • Chapter 5. Leveraging emotional AI for improved human-computer interactions: an interdisciplinary perspective
  • Chapter 6. The need for emotional intelligence in human-computer interactions
  • Chapter 7. Enhancing human-robot collaboration through emotional intelligence: a conceptual exploration
  • Chapter 8. Revolutionizing learning experiences by enhancing learning proficiency using artificial intelligence and human-computer interaction
  • Chapter 9. Enhancing human-computer interaction through vision-based hand gesture recognition: an OpenCV and Keras approach
  • Chapter 10. Performance enhancement of speech recognition by using machine learning techniques specifically GAN-AE algorithm: an overview
  • Chapter 11. Complex face emotion recognition using computer vision and machine learning
  • Chapter 12. Sarcasm detection: acknowledging misleading content in social media using optimised Wilson's technique and gumbel mechanism
  • Chapter 13. Thriving together: resilience engineering in human-AI symbiosis
  • Chapter 14. COBOTS: Vital role in significant domains.