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

Affective Computing and AI-Enhanced Emotion-Aware Systems: Leveraging Emotion Recognition for Change Management in User Interaction

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  • Dr. Olga Petrova
Dr. Olga Petrova
Professor of Applied Mathematics, National Research University Higher School of Economics (HSE), Russiar
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Published 19-06-2024

Keywords

  • emotion recognition,
  • data security
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Olga Petrova, “Affective Computing and AI-Enhanced Emotion-Aware Systems: Leveraging Emotion Recognition for Change Management in User Interaction”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, pp. 233–243, Jun. 2024, Accessed: Nov. 22, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/128

Abstract

Affective computing, a multidisciplinary field that merges psychology, AI, and cognitive science, focuses on creating systems capable of recognizing, interpreting, and responding to human emotions. Emotion-aware systems, when integrated into AI-driven Change Management frameworks, can significantly enhance user experience and interaction, especially in dynamic project environments. This paper explores the latest advancements in affective computing techniques and their applications, highlighting how emotion recognition technologies are transforming user engagement in change-centric systems. Additionally, the paper addresses the ethical considerations surrounding privacy and data security, offering insights into the challenges and future directions of emotion-aware systems within the context of change management and predictive analytics.

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