Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating· 代理推荐系统中的双向接受度不对称性
Autonomous LLM agents that converse on a user's behalf are an emerging design pattern in matching platforms, yet their viability depends on a condition rarely examined: users must accept not only delegating conversation to an agent, but also receiving agent-mediated communication from others. We study this condition using two large-scale surveys of active users of a major dating platform (N=2,894 on generative profile features; N=2,617 on autonomous conversational agents, fielded in two languages). We develop a latent-variable measurement model of agent receptivity based on graded response models with latent regression, and show via model comparison that willingness to send and willingness to receive agent communication are distinct constructs: highly correlated (rho=0.92) but separable (D
探究在线约会中代理推荐系统的双面接受度及模型。
- 核心方法
- 通过两个大规模的用户调查（N=2,894 和 N=2,617）采用分级响应模型与潜在回归方法来构建代理接受度的潜在变量测量模型。
- 适合谁读
- 研究者，设计师，产品经理
- 要解决的问题
- 代理推荐系统不仅需要用户愿意委托代理进行对话，还需要用户接受来自其他人的代理中介交流，这篇论文研究了这一条件。
- 关键实验
- 两个大规模调查实验，分别针对生成式个人资料特性和自主对话代理。
- 主要贡献
- 揭示了发送和接收代理通信的意愿是高度相关但独立的构念，为代理推荐系统的优化提供了理论依据。
- 意义与局限
- 为设计更符合用户期望的代理推荐系统提供重要洞见，但研究结果的普适性可能受限于特定平台和用户样本。