Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, Anat Perry
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引用次数: 0
Abstract
Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing understanding, ‘feeling with’ and caring, is perceived differently when attributed to AI versus humans. We conducted nine studies (n = 6,282) where AI-generated empathic responses to participants’ emotional situations were labelled as provided by either humans or AI. Human-attributed responses were rated as more empathic and supportive, and elicited more positive and fewer negative emotions, than AI-attributed ones. Moreover, participants’ own uninstructed belief that AI had aided the human-attributed responses reduced perceived empathy and support. These effects were replicated across varying response lengths, delays, iterations and large language models and were primarily driven by responses emphasizing emotional sharing and care. Additionally, people consistently chose human interaction over AI when seeking emotional engagement. These findings advance our general understanding of empathy, and specifically human–AI empathic interactions.
期刊介绍:
Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.