The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
November 19, 2024 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
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Authors
Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle Ungar, JoΓ£o Sedoc
arXiv ID
2411.12877
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
20
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
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.
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