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TRUVACE RECORD VERSION
record: TRV-2026-2558
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T07:53:55.015386Z
status: published
lens: g_space
sector: health
headline: Mental Health Support for People with Depression Using Artificial Intelligence: The Effects of Appearance and Emotion Anthropomorphism
dek: Abstract Depression is globally prevalent, yet psychiatric shortages restrict care access. Artificial intelligence (AI) doctors may address this shortage, but their adoption is hindered by distrust and privacy concerns. By making AI doctors seem socially present and humanlike, anthropomorphic design may shape users’ psychological responses. Drawing on media equation theory, this study distinguishes between appearance and emotion anthropomorphism and examines their effects on trust, privacy concerns, and adoption…
gain_title: In a 2 × 2 experiment with 319 participants, an AI doctor designed to express emotion increased trust and reduced privacy concerns, and higher trust raised intention to adopt it for depression support.
problem_title: (none)
trace_subject: (none)
gain_reading: In a 2 × 2 experiment with 319 participants, an AI doctor designed to express emotion increased trust and reduced privacy concerns, and higher trust raised intention to adopt it for depression support.
gain_evidence: emotion anthropomorphism increased trust and reduced privacy concerns | Trust increased adoption intention
problem_reading: (none)
problem_evidence: (none)
quick_read: A 2 × 2 experiment with 319 participants tested how humanlike design shapes responses to an AI doctor offering mental health support for depression. Emotion anthropomorphism, meaning the AI expressing emotion, increased trust and reduced privacy concerns. Humanlike appearance had no significant effects.

The work responds to a shortage of psychiatrists that limits care for depression worldwide. AI doctors could widen access, but distrust and privacy concerns have hindered adoption. Trust raised adoption intention, while privacy concerns lowered it.

The two design features did not add up. Each one's effect weakened when the other was high. The benefits of emotional expression were stronger among participants who perceived higher public stigma around depression.
limitation: The findings come from an experiment measuring intentions to adopt an AI doctor among 319 participants, not actual use or clinical outcomes for people with depression.
tag: Evidence-backed gain
key_points: The experiment used a 2 × 2 design with 319 participants, varying appearance and emotion anthropomorphism. | Emotion anthropomorphism increased trust and reduced privacy concerns. | Appearance anthropomorphism had no significant effects on those outcomes. | Trust increased intention to adopt the AI doctor; privacy concerns reduced it. | The two designs interacted negatively: each effect weakened when the other design was high. | Emotion anthropomorphism's effects were stronger under high perceived public stigma.
rundown: Researchers drew on media equation theory to separate two kinds of humanlike design in AI doctors: appearance and emotion. They examined effects on trust, privacy concerns and adoption intention, with perceived public stigma as a moderator.

The results favoured emotional expression over looks. Emotion anthropomorphism raised trust and lowered privacy concerns, while appearance had no significant effect. Those shifts mattered because trust raised adoption intention and privacy concerns reduced it.

The interaction findings suggest designers cannot simply stack both features, since each effect weakened when the other design was high. The authors say the study guides AI doctor design and advances research on AI anthropomorphism.
sources:
- peer_reviewed | Information Systems Frontiers | https://doi.org/10.1007/s10796-026-10807-2 | 2026-08-24
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