The Illusion of Empathy: How AI Chatbots Shape Conversation Perception

As AI chatbots increasingly incorporate empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explored. This study examines how chatbot identity and perceived empathy influence users' overall conversation experience. Analyzing 155 conversations from two datasets, we found that while GPT-based chatbots were rated significantly higher in conversational quality, they were consistently perceived as less empathetic than human conversational partners. Empathy ratings from GPT-4o annotations aligned with user ratings, reinforcing the perception of lower empathy in chatbots compared to humans. Our findings underscore the critical role of perceived empathy in shaping conversation quality, revealing that achieving high-quality human-AI interactions requires more than simply embedding empathetic language; it necessitates addressing the nuanced ways users interpret and experience empathy in conversations with chatbots.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i13.33569
Citations
6
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
5.32
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article

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception

Ankit Aich, Allison Lahnala, Salvatore Giorgi, Lyle Ungar et al.
6 citations
Proceedings of the AAAI Conference on Artificial Intelligence
AI in Service Interactions
5.32
article

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception

Ankit Aich, Allison Lahnala, Salvatore Giorgi, Lyle Ungar, João Sedoc, Tingting Liu, Brenda Curtis
article en
6 citations

Abstract

As AI chatbots increasingly incorporate empathy, understanding user-centered perceptions of chatbot empathy and its impact on conversation quality remains essential yet under-explored. This study examines how chatbot identity and perceived empathy influence users' overall conversation experience. Analyzing 155 conversations from two datasets, we found that while GPT-based chatbots were rated significantly higher in conversational quality, they were consistently perceived as less empathetic than human conversational partners. Empathy ratings from GPT-4o annotations aligned with user ratings, reinforcing the perception of lower empathy in chatbots compared to humans. Our findings underscore the critical role of perceived empathy in shaping conversation quality, revealing that achieving high-quality human-AI interactions requires more than simply embedding empathetic language; it necessitates addressing the nuanced ways users interpret and experience empathy in conversations with chatbots.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(13)
Openalex Percentile: Top 3%
AI in Service Interactions
5.32
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