Persuasive Power of Emotive AI: A Moderated–Mediation Model of Consumer Well-Being via Enjoyment and Autonomy

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Authors: Hrithvik Bhardwaj, Dheeraj Sharma
Cited by: 1
References: 75

Abstract

The primary purpose of this paper is to examine how emotive artificial intelligence (AI) persuasion agents shape consumer well-being in advertising and brand communication. Prior research has emphasized efficiency and personalization, yet little is known about the psychological effects of emotive AI, especially under persistent persuasion. To address this gap, we tested a moderated mediation model across four experiments. Results showed that emotive AI improves well-being via perceived enjoyment and autonomy, with autonomy as the stronger pathway. Attachment-framed emotive AI responses moderated these effects: security-oriented AI responses enhanced well-being, whereas anxiety-oriented responses reduced it. Privacy fatigue weakened both pathways, whereas mind perception strengthened outcomes but shifted the emphasis from autonomy toward enjoyment. By identifying both benefits and risks, this study advances theory on AI persuasion and offers guidance for designing emotionally adaptive, privacy-conscious, consumer-centered systems that balance influence with psychological health.

Fields of Study & Subjects

AI in Service Interactions Psychology of Moral and Emotional Judgment Emotion and Mood Recognition

Publication details

Journal / source
Journal of Interactive Advertising
Publisher
Informa UK Limited
Volume
26
Issue
1
Pages
1–17
Publication date
2 January 2026
Language
EN