Evidence map›Paper›PMID 42645879›Full record

ArticleJournal of eye movement research2026

Effects of Exhibit Text Presentation Types on Visual Attention Patterns and Cognitive Load in Digital Museums: An Eye-Tracking Study.

Yingying Zhu, Ming Liu, Yinghuang Luo, Xuanjia Ren, Jinho Yim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of eye movement research, 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

5 authors.

Yingying ZhuDepartment of Smart Experience Design, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0009-0003-7038-6535
Ming LiuDepartment of Smart Experience Design, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea.
Yinghuang LuoDepartment of Product Design, Academy of Fine Arts, Hanshan Normal University, Chaozhou 521021, China.
Xuanjia RenSchool of Art and Design, Beijing Institute of Fashion Technology, No. 2 East Yinghua Road, North End of Heping Street, Chaoyang District, Beijing 100029, China.ORCID 0009-0007-3405-1438
Jinho YimDepartment of Smart Experience Design, Graduate School of Techno Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0000-0001-6578-8925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exhibit texts are commonly presented as labels or information panels near artworks to provide visitors with direct access to key exhibit information. Digital museums offer flexible and diverse ways to present artworks and communicate their cultural meanings. They also allow exhibit texts to be displayed in different formats, which may shape users' reading behavior and cognitive experience. This study used a repeated-measures, within-subject design (N = 38) to compare three types of exhibit text presentation: environment-based, object-based, and user-based. Eye tracking, the NASA Task Load Index, and semi-structured interviews were used to examine the users' visual attention patterns and cognitive load. The results showed significant differences in cognitive load across presentation conditions (

Indexed as

cognitive loaddigital museumexhibit text presentationeye trackingreading behaviorvisual attention patterns

Identifiers

PMID42645879
PMCPMC13514559

What OpenQuestion holds

Textmetadata
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.