Evidence map›Paper›PMID 42496365›Full record

ArticleJournal of eye movement research2026

Phase-Sensitive Gaze Allocation in a Progressive Calligraphy Task.

Yujun Liu, Nina Xie, Xutang Tong, Yuanyuan Wang

Abstract read
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

4 authors.

Yujun LiuFaculty of Business, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong.
Nina XieDepartment of Management, Faculty of Business, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong.
Xutang TongFaculty of Business, Lingnan University, 8 Castle Peak Road, Tuen Mun, Hong Kong.
Yuanyuan WangManagement and Strategy, Lee Shau Kee School of Business and Administration, Hong Kong Metropolitan University, Ho Man Tin, Kowloon, Hong Kong.ORCID 0000-0003-2650-5691

Funding

University Grants Committee Fund for Innovative Technology-in-Education
6 · The paper itself

Abstract

Eye-movement studies of manual production often average gaze across an entire trial, obscuring how visual information use changes once actions begin. We separated the pre-writing and writing phases in a fixed progressive Chinese calligraphy task. Thirty-seven postgraduate students completed two style-guided transfer (SGT) pages, a worked example, and two evolution-based mapping (EBM) pages; 34 contributed usable gaze data. On SGT pages, reference allocation fell from 0.626 before writing to 0.131 during writing, whereas the share of reference viewing directed to diagnostic tokens rose from 0.473 to 0.601. On EBM pages, allocation to the cue-plus-context display fell from 0.825 to 0.447 after pen onset but remained substantial; cue share and context coverage also declined. Participant-level process blocks did not improve quality models. In exploratory page-level EBM analyses, greater pre-writing context coverage was associated with higher product quality. These findings identify pen onset as a useful boundary for analyzing visual information use in constrained production: external sampling is greatest before writing, and task-specific re-access persists during execution. Because the task order was fixed, page-family differences cannot be separated from practice or scaffolding. Phase-specific area-of-interest measures can therefore add process information to product scores without treating gaze as a direct measure of cognition.

Indexed as

Chinese calligraphyexternal visual informationeye–hand coordinationeye trackinggaze allocationresponse processes

Identifiers

PMID42496365
PMCPMC13397871

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.