Evidence map›Paper›PMID 42151305›Full record

ArticleScientific reports2026

Influence of visual design on young users' attention to digital museum homepages: an eye-tracking study.

Hao Fang, Hongyun Guo, Mian Wu, Yuanyan Hu, Minjian Hong, Feng Gan

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Hao FangSchool of Art and Design, Wuhan Institute of Technology, Wuhan, China.
Hongyun GuoSchool of Art and Design, Wuhan Institute of Technology, Wuhan, China.
Mian WuSchool of Arts and Communication, China University of Geosciences, Wuhan, China.
Yuanyan HuSchool of Education, Chongqing University of Arts and Science, Chongqing, China.
Minjian HongSchool of Art and Design, Wuhan Institute of Technology, Wuhan, China.
Feng GanSchool of Arts, Southeast University, Nanjing, China. gan@seu.edu.cn.

Funding

the General Project of the National Social Science Fund (NSSF) of China in Art grant number 23BG133
6 · The paper itself

Abstract

Digital museum websites are often the first point of contact with collections, but their homepage designs vary in effectiveness at attracting and guiding attention. We examined how visual design elements affect the perceived appeal and attention distribution on digital museum homepages for young users. Mixed methods were used: interviews and a focus group identified candidate elements, a self-report study (n=70) rated museum homepages, and an eye-tracking experiment (n=40) tested six virtual homepages representing the most and least appealing sites. Paired t-tests and a generalized linear mixed model (GLMM) were used to analyze appeal ratings, and the eye-tracking heat maps with fixation-order metrics characterized attention patterns. Homepages with more hypothesized elements were rated as more appealing. Effect on appeal, while concise layouts (effect. Eye-tracking showed that pages with large images (especially with simple animations) attracted early, focused fixations, whereas pages lacking these features produced more dispersed gaze patterns. These findings suggest that homepages with more appealing images and less distracting elements are more likely to attract attention and encourage engagement.

Indexed as

AttentionEye-Tracking TechnologyMuseumsAdolescentDigital MediaEye MovementsFemaleFixation, OcularHumansMaleYoung AdultDigital science museumsEye-tracking technologyScience educationVisual designYoung audiences

Identifiers

PMID42151305
PMCPMC13385742

What OpenQuestion holds

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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.