Emotion AI and Employee Experience

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Authors: Jeayaram Subramanian, Damith Sanjaya Kumara Gangodawilage, Thi Minh Ngoc Luu, Anugamini Priya Srivastava
Cited by: 0
References: 9

Abstract

The integration of Emotion AI (Affective Computing) into employee experience (EX) management represents a paradigm shift towards human-centric, data-driven leadership. This chapter explores how cloud-native tools enable organizations to move beyond lagging indicators like annual surveys by analyzing emotional data from digital communication platforms in real-time. It details use cases across the employee lifecycle, from enhancing onboarding to predicting burnout and fostering inclusive teams. However, this transformative potential is accompanied by significant implications. The chapter provides a critical examination of the ethical, social, and managerial challenges, including privacy, algorithmic bias, and the risk of emotional surveillance. It concludes that the responsible adoption of Emotion AI, governed by strong ethical frameworks, is crucial for creating empathetic, supportive, and productive workplaces.

Fields of Study & Subjects

AI and HR Technologies Emotion and Mood Recognition Ethics and Social Impacts of AI

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
367–384
Publication date
13 February 2026
Language
EN
Document type
Book chapter