Judged by humans, comforted by machines: How psychological expectations shape experiences and perceptions of AI support
Examines how people experience and perceive social support from AI after minor aversive experiences such as rude interactions or social slights. Drawing on mind-perception theory, the authors propose that prior expectations about AI's experiential capacity relative to humans shape the support experience. A pilot and six studies (five preregistered, total N = 3,341) find two effects: people report lower fear of negative evaluation after receiving support from AI than from a human, which improves well-being outcomes, and people perceive AI as exceeding their expectations for empathy, which drives perceived support effectiveness. The effects held across controlled simulations and real interactions with actual human and AI support givers.
Publisher
Journal of Personality and Social Psychology (American Psychological Association)
Published
3 Sept 2026
Added
today
Key Findings
- Six studies, five preregistered, total N = 3,341, plus a pilot showing people hold different initial expectations of AI's versus humans' experiential capacity
- Receiving support from AI rather than a human lowered fear of negative evaluation, which in turn improved well-being outcomes (Studies 1 to 3)
- People perceived AI as exceeding their expectations for empathy, which drove perceived support effectiveness (Studies 4 to 6)
- Effects emerged in both controlled simulations and real interactions with actual human and AI support givers
- The paper frames initial psychological expectations about AI's experiential capacity as the central mechanism shaping AI support experiences
Methodology Notes
Journal of Personality and Social Psychology, DOI 10.1037/pspa0000494, published online 2026-09-03 (Crossref and PubMed ArticleDate; PMID 42691276), no volume or issue yet. Affiliations from PubMed: Darden School of Business, University of Virginia, and Warrington College of Business, University of Florida. The support context is minor everyday aversive experiences, not clinical distress; the abstract was read via PubMed and the article is paywalled, so preregistration and sample details beyond the abstract are not independently confirmed.
Topics
Authors
Roshni Raveendhran, Trevor A. Foulk
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Cite This
APA
Roshni Raveendhran, Trevor A. Foulk. (2026). Judged by humans, comforted by machines: How psychological expectations shape experiences and perceptions of AI support. Journal of Personality and Social Psychology (American Psychological Association). https://doi.org/10.1037/pspa0000494
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