Evidence map›Paper›PMID 42094325›Full record

ArticleFrontiers in psychology2026

Feeling powerful and less emotional: how sense of power reduces aversion to AI services.

Shengru Ren, Ying Hu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Shengru Ren *Department of Marketing, Renmin University of China, Beijing, China.
Ying Hu *Department of Marketing, Renmin University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite the growing capabilities of artiffcial intelligence (AI), individuals often resist AI-based services even when these systems outperform human providers. This research examines how individuals' sense of power inffuences AI aversion. From an evolutionary perspective, we conceptualize AI aversion as an emotional response that reffects a mismatch between social-cognitive mechanisms evolved for human interaction and the emergence of artiffcial decision-makers. We argue that feeling powerful shifts individuals away from affective, evolution-arily grounded vigilance toward more deliberative, outcome-focused evaluations of AI services, thereby attenuating resistance rooted in species-based categorization. Methods: We conducted experiments ( Results: Study 1 shows that inducing a sense of power decreases individuals' reluctance to adopt AI services. Study 2 replicates this effect using a subtle yet practically relevant power manipulation. Study 3 provides process evidence, demonstrating that feeling powerful reduces reliance on feelings in the decision-making process, thereby lowering AI aversion. Together, these ffndings suggest that heightened power fosters less emotional decision-making, which in turn mitigates resistance to AI. Discussion: This research contributes to the literature on AI adop-tion and sense of power by identifying a psychologically grounded interven-tion that reduces AI aversion without altering AI's functional attributes, offering actionable insights for service providers and policymakers seeking to increase individual openness to AI services.

Indexed as

AI aversionartificial intelligenceemotional relianceevolutionary mismatchsense of power

Identifiers

PMID42094325
PMCPMC13139142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.