AI-Mediated Conversations and Their Impact on Emotional Understanding

Abstract

As artificial intelligence becomes embedded in everyday communication, AI-mediated conversations increasingly shape how individuals express, interpret, and regulate emotions. From chatbots and virtual assistants to automated counseling tools and customer-service agents, AI systems are not only conduits of information but also mediators of human emotional experience. This article explores the psychological, linguistic, and relational implications of AI-mediated communication for emotional understanding. Drawing upon research in affective computing, social psychology, communication theory, and cognitive science—including foundational insights from Rosalind Picard, Clifford Nass, and Daniel Kahneman—the article analyzes how AI-generated language cues shape user perception of emotion, empathy, and interpersonal meaning. It argues that AI-mediated conversations can both enhance emotional understanding (by providing scaffolding, reflective prompts, and accessible emotional language) and hinder it (through oversimplification, emotional misalignment, and lack of authentic experiential grounding). The article concludes with implications for AI design, digital ethics, and the future of emotionally intelligent systems.