Eye movement and reading behavior in older adults with dementia

With the rising number of patients with dementia, it is essential to develop support strategies that incorporate visual information. This study aimed to clarify differences in eye movement patterns when older adults with dementia read documents of varying difficulty, in order to identify strategies for enhancing readability and supporting comprehension. Eye movements were measured using an eye tracker while nine older adults with dementia read documents. Each document had an original version and a revised version, designed to improve readability. Data were compared across document types, original versus revised versions, and aloud versus silent reading. Video recordings were qualitatively analyzed. In the comparison of document types, “skipping over” (p = 0.046) and “misreading” (p = 0.050) significantly decreased in documents of lower difficulty. No significant difference was observed between aloud and silent reading. However, among participants who read aloud, the revised version showed significant reductions in reading time (p = 0.028), fixation count (p = 0.046), and regression (p = 0.046). Qualitative analysis yielded three major categories: Response to caregiver support, Reading strategies, and Challenges in using support. The revised documents improved eye movement patterns, suggesting enhanced readability. In addition to text modifications, individualized caregiver support was critical for comprehension. These findings can inform the design of written information for older patients with dementia.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2026-01-29
DOI
https://doi.org/10.1186/s12877-026-07030-8
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eye movement and reading behavior in older adults with dementia

Shigeki Hirano, Ayano Inuyama, Motoshi Ouchi, Sayuri Suwa
BMC Geriatrics
Dementia and Cognitive Impairment Research
article

Eye movement and reading behavior in older adults with dementia

Shigeki Hirano, Ayano Inuyama, Motoshi Ouchi, Sayuri Suwa
article en

Abstract

With the rising number of patients with dementia, it is essential to develop support strategies that incorporate visual information. This study aimed to clarify differences in eye movement patterns when older adults with dementia read documents of varying difficulty, in order to identify strategies for enhancing readability and supporting comprehension. Eye movements were measured using an eye tracker while nine older adults with dementia read documents. Each document had an original version and a revised version, designed to improve readability. Data were compared across document types, original versus revised versions, and aloud versus silent reading. Video recordings were qualitatively analyzed. In the comparison of document types, “skipping over” (p = 0.046) and “misreading” (p = 0.050) significantly decreased in documents of lower difficulty. No significant difference was observed between aloud and silent reading. However, among participants who read aloud, the revised version showed significant reductions in reading time (p = 0.028), fixation count (p = 0.046), and regression (p = 0.046). Qualitative analysis yielded three major categories: Response to caregiver support, Reading strategies, and Challenges in using support. The revised documents improved eye movement patterns, suggesting enhanced readability. In addition to text modifications, individualized caregiver support was critical for comprehension. These findings can inform the design of written information for older patients with dementia.

BMC GeriatricsVol. 26(1)
Chiba University (JP)
Quality Education
Openalex Percentile: Top 74%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.