Vol. 4 No. 1 (2024): Journal of AI-Assisted Scientific Discovery
Articles

Emotion Recognition in HCI - Implications and Applications: Studying implications and applications of emotion recognition in HCI for adapting system behavior and content to users' emotional states

Dr. Mehmet Akın
Associate Professor of Electrical Engineering, Istanbul Technical University, Turkey
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Published 08-04-2024

Keywords

  • Emotion Recognition,
  • Future Directions

How to Cite

[1]
Dr. Mehmet Akın, “Emotion Recognition in HCI - Implications and Applications: Studying implications and applications of emotion recognition in HCI for adapting system behavior and content to users’ emotional states”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, pp. 262–269, Apr. 2024, Accessed: Nov. 22, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/125

Abstract

Emotion recognition in Human-Computer Interaction (HCI) has emerged as a pivotal area of research, enabling systems to perceive and respond to users' emotional states. This paper provides a comprehensive review of the implications and applications of emotion recognition in HCI. We discuss how this technology can enhance user experience, improve system performance, and revolutionize various domains such as education, healthcare, and entertainment. By adapting system behavior and content to users' emotional states, emotion recognition in HCI has the potential to create more personalized and effective interactions. However, challenges related to privacy, ethics, and accuracy must be addressed to realize its full potential. Through this paper, we aim to provide insights into the current state of research, identify key challenges, and propose future directions in the field of emotion recognition in HCI.

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