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AI agents in dating apps face user receptivity gap, study finds

A new research paper explores the challenges of implementing autonomous AI agents in online dating platforms. The study, which surveyed nearly 3,000 users, found a significant asymmetry in how users accept AI-driven communication. While users are more willing to deploy their own AI agents, they are far less receptive to receiving messages from others' agents. This imbalance, particularly pronounced between genders, suggests that current agentic recommender systems may struggle to facilitate meaningful interactions. AI

IMPACT Highlights a key user experience challenge for AI agents in social platforms, potentially slowing adoption.

RANK_REASON Academic paper on AI agents in online dating. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents in dating apps face user receptivity gap, study finds

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Daria Leshchikova, Valentina V. Kuskova, Dmitry Zaytsev, Valerii Klimov ·

    Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online Dating

    arXiv:2608.18058v1 Announce Type: new Abstract: 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,…