Evidence map›Paper›PMID 41120331›Full record

ArticleScientific reports2025

Individual differences in anthropomorphism help explain social connection to AI companions.

Dunigan Folk, Steven J Heine, Elizabeth Dunn

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dunigan FolkUniversity of British Columbia, Vancouver, Canada. duniganfolk@psych.ubc.ca.
Steven J HeineUniversity of British Columbia, Vancouver, Canada.
Elizabeth DunnUniversity of British Columbia, Vancouver, Canada.

Funding

Social Sciences and Humanities Research Council #F23-04301
6 · The paper itself

Abstract

People increasingly use conversational AI for support and companionship. Yet, current discourse on AI companions reveals a stark divide: some scholars argue that feeling connected to AI is impossible due to AI's inability to experience emotions, while others contend that AI's ability to provide the illusion of emotions is enough. Across two experiments (one pre-registered; Total N = 1274), we investigated whether accounting for individual differences in anthropomorphism could help bridge these two perspectives. Participants completed a measure of anthropomorphism and were then randomly assigned to discuss their past month through a conversation with a chatbot (chatbot condition) or by journaling (control condition) and then completed a measure of social connection. Our results suggest that for some individuals, AI's artificial nature may pose an insurmountable barrier to meaningful connection; for others, however, this artificiality may be a minor obstacle, easily overcome by a tendency to anthropomorphize.

Indexed as

Artificial IntelligenceIndividualityInterpersonal RelationsAdultEmotionsFemaleHumansMaleYoung Adult

Identifiers

PMID41120331
PMCPMC12540830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.