Evidence map›Paper›PMID 41829199›Full record

ArticleFoods (Basel, Switzerland)2026

Dancing for Taste: The Impact of AI and Human Influencers on Aesthetic Perception and Purchase Intention for Food Products.

Defang Sha, Kai Zhang, Yanlong Wei

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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. Article
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.

Defang ShaZhujiang College, South China of Agricultural University, Guangzhou 510900, China.
Kai ZhangFaculty of Fine and Applied Arts, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0009-0006-7179-6052
Yanlong WeiDepartment of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150030, China.ORCID 0009-0007-8068-3233

Funding

Higher Education Teaching Reform Project of South China Agricultural University, Zhujang College 2025HZZLGC047
6 · The paper itself

Abstract

As digital food marketing increasingly relies on short-form visual content, understanding how performance aesthetics interact with influencer characteristics becomes critical. The present research examines the effects of the combination of the influencer type (AI or human) and the dance style (modern or traditional) on the attitudes of consumers towards food products. We show that aesthetic congruence, where human and traditional dance performers are matched with AI and modern dance performers, respectively, can result in increased purchase intention in two preregistered experiments (

Indexed as

aesthetic perceptionAI influencerdance stylefood productinfluencer humanizationsensory marketing

Identifiers

PMID41829199
PMCPMC12984262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.