Evidence map›Paper›PMID 42889332›Full record

ArticleFrontiers in psychology2026

Acceptance and self-reported continued use of AI virtual avatars: an extended UTAUT model with the moderating role of use frequency.

Changsheng Liu, Miaohui Wu, Ge Wu

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

3 authors.

Changsheng LiuSchool of Art and Design, Guangdong University of Technology, Guangzhou, China.
Miaohui WuSchool of Philosophy, Huazhong University of Science and Technology, Wuhan, China.
Ge WuSchool of Art and Design, Guangdong University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI-driven virtual avatars are increasingly encountered in livestreaming and digital-content settings. This cross-sectional study examined an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model using survey data from 165 Chinese adults reporting prior exposure to AI virtual-avatar livestreams or videos. PLS-SEM showed that effort expectancy and social influence were positively associated with behavioral intention, while performance expectancy was not statistically significant (

Indexed as

AI virtual avatarartificial intelligencebehavioral intentioncontinued-use tendencyfacilitating conditionsPLS-SEMuse frequencyUTAUT

Identifiers

PMID42889332
PMCPMC13669095

What OpenQuestion holds

Textmetadata
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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.