AI情感建议让用户更信任，用得好能提升对AI的接受度
"What if she doesn't feel the same?" What Happens When We Ask AI for Relationship Advice
- 让用户试用AI情感建议，观察反馈与态度变化
- 多数人对AI建议满意度高，且信任感显著提升
- 适合关注AI社交应用与人机信任的研究者
大型语言模型（LLMs）正越来越多地用于提供浪漫关系等个人领域建议，但人们对这类建议的感知尚不明确。本研究调查了用户对LLM生成的恋爱建议的评价。参与者评估了建议的满意度、模型可靠性及实用性，并完成了使用前后的通用对LLMs态度测量。结果显示，参与者对LLM生成建议的整体满意度较高，满意度又与对模型可靠性和实用性的评价呈强正相关。重要的是，接触建议后，参与者对LLMs的态度显著改善，表明支持性且情境相关的建议可增强用户对这些AI系统的信任与开放度。
原文摘要 · Abstract (English)
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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