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AI doctor that shows emotion won more trust, a 319-person experiment finds

Study title: Mental Health Support for People with Depression Using Artificial Intelligence: The Effects of Appearance and Emotion Anthropomorphism

Evidence type
Controlled or validated comparison
Sample
n = 319
Sources
1 sourcePeer-reviewed
Published
1 min read
Truvace record
TRV-2026-2558cite or check it

Study title: Mental Health Support for People with Depression Using Artificial Intelligence: The Effects of Appearance and Emotion Anthropomorphism

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.

Read the study abstract

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…

The gain

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.

In brief

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.

Main points

  1. The experiment used a 2 × 2 design with 319 participants, varying appearance and emotion anthropomorphism.
  2. Emotion anthropomorphism increased trust and reduced privacy concerns.
  3. Appearance anthropomorphism had no significant effects on those outcomes.
  4. Trust increased intention to adopt the AI doctor; privacy concerns reduced it.
  5. The two designs interacted negatively: each effect weakened when the other design was high.
  6. Emotion anthropomorphism's effects were stronger under high perceived public stigma.

The full story

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

1 on file
  1. Information Systems Frontiersdoi:10.1007/s10796-026-10807-2
    Peer-reviewed2026-08-24

Talk it over

Four questions to start onWho gets this benefit, and who was left out of the study or story?

Start with a question

AI doctor that shows emotion won more trust, a 319-person experiment findshttps://truvace.com/item/mental-health-support-for-people-with-depression-using-artificial-intelligence-t

  1. Who gets this benefit, and who was left out of the study or story?

    The gain 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.

    Answer in the thread

  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a controlled comparison with a sample of 319, from Information Systems Frontiers.

    Answer in the thread

  3. What does it leave open? What else would you want to know before acting on it?

    The record’s own caveat 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.

    Answer in the thread

  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

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