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Emotional Intelligence in AI-Driven Interactions
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Author(s): Vaishali Rahate (Datta Meghe Institute of Management Studies, India), Lakshay Goyal (Pimpri Chinchwad College of Engineering and Research, Pune, India), Shailesh Tripathi (Sri Balaji University, Pune, India), Anup Ranade (Yeshwantrao Chawan College of Engineering, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India)and Prateek Srivastava (CSJM University, India)
Copyright: 2026
Pages: 30
Source title:
Impacts of AI on Human Expression and Relationship Building
Source Author(s)/Editor(s): Jorge Esparteiro Garcia (Polytechnic University of Viana do Castelo, Portugal), Bruno Barbosa Sousa (Polytechinc Institute of Cávado and Ave, Portugal)and Manuel José Serra Fonseca (Polytechnic University of Viana do Castelo, Portugal)
DOI: 10.4018/979-8-3373-8337-8.ch010
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Abstract
Emotional intelligence (EI), traditionally defined as the capacity to recognize, understand, manage, and influence emotions in oneself and others, has become a pivotal concept in the design of advanced artificial intelligence (AI) systems. At its core, EI encompasses several domains: self-awareness, self-regulation, motivation, empathy, and social skills, all of which underpin human interactions, decision-making, and adaptive behavior. Translating these human-centered capabilities into computational frameworks involves bridging cognitive psychology, neuroscience, linguistics, and machine learning, thereby creating AI systems capable of perceiving, interpreting, and responding to emotional cues in dynamic and context-sensitive ways. The foundational layer of emotionally intelligent AI begins with affective computing, a discipline introduced by Rosalind Picard, which focuses on enabling machines to detect and interpret human emotions through multiple modalities, including facial expressions, vocal tonality, physiological signals, text, and behavioral patterns.
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