Evidence map›Paper›PMID 41811571›Full record

ArticlePsychonomic bulletin & review2026

Reading fluency and word segmentation agreement modulate the benefits of word boundary cues for older readers in traditional Chinese.

Yiu-Kei Tsang, Ming Yan, Jinger Pan

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 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

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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.

Yiu-Kei TsangDepartment of Education and Psychology, Hong Kong Baptist University, Kowloon, Hong Kong. yktsang@hkbu.edu.hk.ORCID http://orcid.org/0000-0002-4978-1333
Ming YanDepartment of Psychology, University of Macau, Taipa, Macau.
Jinger PanDepartment of Psychology, The Education University of Hong Kong, New Territories, Hong Kong.

Funding

Fundo para o Desenvolvimento das Ciências e da Tecnologia 0044/2024/RIA1Research Grants Council, University Grants Committee HKBU12617022Universidade de Macau MYRG-GRG2023-00142-FSSUniversidade de Macau MYRG-GRG2024-00081-FSS
6 · The paper itself

Abstract

Despite having extensive reading experience, older readers suffer from declines in visual acuity and processing speed, which may undermine their ability to segment words in unspaced scripts like Chinese. While using text colors to highlight word boundaries can aid reading and eye movement control for readers of simplified Chinese, it remains unclear whether the benefits extend to older readers, especially those who read the visually more complex traditional Chinese script. This study investigated this question in three conditions: a baseline monocolor condition, a word segmentation condition where words were marked by alternating text colors, and a nonword segmentation condition. By tracking the eye movements of 76 older readers, we found a robust interference effect from nonword segmentation across all reading and oculomotor measures. In contrast, benefits of word segmentation cues were strikingly specific, emerging only for readers with lower vocabulary knowledge and for words with clear, unambiguous boundaries. This reveals that the utility of explicit word boundary cues depends on a dynamic interplay between visual processing and vocabulary knowledge. These findings have important implications. Theoretically, they underscore that models of reading should account for word boundary ambiguity and readers' experience. Practically, the development of assistive reading technologies needs to be tailored to the needs of less proficient readers, who benefit most from external support.

Indexed as

AgingCuesEye MovementsPattern Recognition, VisualReadingVocabularyAgedAged, 80 and overEast Asian PeopleFemaleHumansMaleChineseCognitive agingEye movementReadingWord boundary

Identifiers

PMID41811571
PMCPMC12979358

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.