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Study: Non-humanity and structural similarity drive AI self-disclosure

A new study published on arXiv explores deep self-disclosure towards generative AI, moving beyond simple anthropomorphism. The research identifies perceived non-humanity and structural similarity as key psychological factors influencing users to share personal information. Data from 2,400 participants collected in 2025 indicates that individuals with high perceptions of both factors were significantly more likely to engage in deep self-disclosure. AI

IMPACT Explores psychological factors influencing user trust and disclosure with AI, potentially impacting AI design for sensitive applications.

RANK_REASON Research paper published on arXiv detailing findings on user interaction with AI. [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 →

Study: Non-humanity and structural similarity drive AI self-disclosure

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Satoru Shibuya ·

    Beyond Anthropomorphism: Exploring the Roles of Perceived Non-humanity and Structural Similarity in Deep Self-Disclosure Toward Generative AI

    This study investigates deep self-disclosure toward generative AI by examining perceived non-humanity and structural similarity as psychological factors beyond anthropomorphism. Perceived non-humanity may reduce evaluation apprehension, whereas structural similarity refers to the…