Do LLMs Give Good Romantic Relationship Advice? A Study on User Satisfaction and Attitude Change
November 14, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Niva Manchanda, Akshata Kishore Moharir, Isabel Michel, Ratna Kandala
arXiv ID
2601.11527
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Large Language Models (LLMs) are increasingly being used to provide support and advice in personal domains such as romantic relationships, yet little is known about user perceptions of this type of advice. This study investigated how people evaluate advice on LLM-generated romantic relationships. Participants rated advice satisfaction, model reliability, and helpfulness, and completed pre- and post-measures of their general attitudes toward LLMs. Overall, the results showed participants' high satisfaction with LLM-generated advice. Greater satisfaction was, in turn, strongly and positively associated with their perceptions of the models' reliability and helpfulness. Importantly, participants' attitudes toward LLMs improved significantly after exposure to the advice, suggesting that supportive and contextually relevant advice can enhance users' trust and openness toward these AI systems.
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