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Uncanny Valley in Conversation? Effects of Internal and External Human-Likeness on Intimacy and Trust

Source record jang-2026-uncanny-conversation · 2026 · Behavioral Sciences
Evidence tier: B (peer-reviewed-journal) · Verification: verified-abstract (compiler confidence: high)
Bottom line: A machine-like AI counsellor was liked and trusted most at low self-disclosure and less at high disclosure (an uncanny-valley-like curve of mind), whereas a human-like counsellor gained with deeper disclosure; internal and external human-likeness interact.

Citation

Jungwoo Jang, Jae-gil Lee, Hayeon Song (2026). Uncanny Valley in Conversation? Effects of Internal and External Human-Likeness on Intimacy and Trust. Behavioral Sciences, 16(10), 1794. https://doi.org/10.3390/bs16101794

Verification entry (identifiers, resolvers, claims with source locations): /data/citations.json#jang-2026-uncanny-conversation

Study design

Field Value
Design 2 (appearance: machine-like vs human-like) × 3 (self-disclosure depth: none, low, high) between-subjects experiment; one scripted counselling session with an LLM-style AI counsellor prototype; six outcome measures, controlling for prior mind perception
Modality text
Stimuli AI counsellor prototype varying appearance and depth of its own self-disclosure
Participants (N) 193
N detail University students
Topics uncanny-valley, mind-perception, trust

Results

Metric Value Note
Machine-like counsellor: intimacy, social presence, trust, authenticity peaked at low disclosure, declined at high uncanny-valley-like pattern
Human-like counsellor evaluations generally rose with disclosure depth
Perceived inappropriateness not higher for deeper disclosure
Mediation (machine-like only) deeper disclosure → lower anthropomorphism → lower intimacy and trust

Moderators

Mechanism relevance

mind-perception

Limitations

Cited in

Verification

Field Value
Status verified-abstract
Compiler confidence high
Checked on 2026-10-19
Via OpenAlex abstract record W7215112744 for doi:10.3390/bs16101794

Values on this page have not all been checked against the full text. Confirm them against the primary source before high-stakes use.