Study Links Perceived Non-Humanity and Structural Similarity to Deep Self-Disclosure Toward Generative AI
A recent study on arXiv examines deep self-disclosure towards generative AI, emphasizing psychological elements like perceived non-humanity and structural similarity, which extend beyond anthropomorphism. Researchers analyzed data from a cross-sectional survey involving 2,400 participants collected in 2025, exploring the links between self-disclosure occurrence and depth. The logistic regression indicated that participants in the high-perception group (Segment D) were significantly more likely to disclose than those in the baseline group (Segment A; OR = 11.35). Additionally, ANOVA results highlighted notable differences in the depth of disclosure among groups. These findings imply that factors influencing trust in deep self-disclosure may not solely rely on anthropomorphic perceptions. The study is exploratory and was conducted in 2025.
Key facts
- Study investigates deep self-disclosure toward generative AI
- Focus on perceived non-humanity and structural similarity
- Cross-sectional survey data from 2,400 participants collected in 2025
- Logistic regression: Segment D (high in both perceptions) had OR = 11.35 vs baseline
- ANOVA showed significant between-group differences in disclosure depth
- Findings suggest factors beyond anthropomorphism influence trust-related behavior
- Study is exploratory
- Published on arXiv
Entities
Institutions
- arXiv