Artificial Emotional Intelligence in Conversational Agents: A Pathway to User Satisfaction through Anthropomorphism and Trust

Artificial Emotional Intelligence (AEI) enables conversational agents (CAs) to recognize and respond to human emotions, improving user interaction. This study examines how AEI influences satisfaction through trust and anthropomorphism in a customer service chatbot setting. We propose that AEI not only builds trust directly but also increases perceived human-likeness, which further impacts satisfaction. Using a between-subjects experiment, participants will engage with High vs. Low AEI CAs. Trust, satisfaction, and anthropomorphism will be measured using validated scales. Findings will offer insights into the design of emotionally intelligent, user-centric AI systems and inform future work across multiple CA modalities.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Artificial Emotional Intelligence in Conversational Agents: A Pathway to User Satisfaction through Anthropomorphism and Trust

Journal of the Association for Information Systems
AI in Service Interactions
article

Artificial Emotional Intelligence in Conversational Agents: A Pathway to User Satisfaction through Anthropomorphism and Trust

article en

Abstract

Artificial Emotional Intelligence (AEI) enables conversational agents (CAs) to recognize and respond to human emotions, improving user interaction. This study examines how AEI influences satisfaction through trust and anthropomorphism in a customer service chatbot setting. We propose that AEI not only builds trust directly but also increases perceived human-likeness, which further impacts satisfaction. Using a between-subjects experiment, participants will engage with High vs. Low AEI CAs. Trust, satisfaction, and anthropomorphism will be measured using validated scales. Findings will offer insights into the design of emotionally intelligent, user-centric AI systems and inform future work across multiple CA modalities.

Journal of the Association for Information Systems
University of North Carolina at Greensboro (US)
Openalex Percentile: Top 72%
AI in Service Interactions
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