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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Apr 17, 2026
Open Peer Review Period: Apr 18, 2026 - Jun 13, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Wearable Eye-Tracking Metrics From Smart Glasses for Cognitive Assessment: A Prospective Digital Health Study

  • Beau Bo-Sheng Chuang; 
  • Tzu-Wei Tseng; 
  • Po-Wei Sung; 
  • Hsiao-Chin Shen; 
  • Wan-Ting Chu; 
  • Chih-Hsun Wu; 
  • Yu-Wei Lee; 
  • Yan-Ru Chen; 
  • Hsiao-Yun Yeh; 
  • Hsin-Yi Hsu; 
  • Ying-Ying Yang; 
  • De-Kuang Hwang

ABSTRACT

Background:

Reading performance is closely associated with cognitive function, and eye-tracking metrics have emerged as sensitive, non-invasive indicators of cognitive processes. Recent advances in wearable technologies, such as smart glasses, enable continuous and scalable measurement of eye movements in real-world settings. However, rapid, accessible, and objective tools for cognitive screening remain limited. Integrating wearable eye-tracking with multidomain cognitive assessment may provide a scalable digital approach for early detection of cognitive impairment.

Objective:

To evaluate the association between wearable eye-tracking metrics and cognitive performance and to assess the feasibility of a smart glasses–based reading task as a rapid digital screening tool.

Methods:

In this prospective observational study, Mandarin-literate adults were recruited from Taipei Veterans General Hospital between May to August 2025. Participants completed a standardized reading task while wearing J7EF Gaze smart glasses. Eight eye-tracking metrics were recorded, followed by the six-domain cognitive assessment using gaze-based interaction. Associations were analyzed via multivariable regression adjusted for age and sex.

Results:

A total of 134 participants were enrolled (mean age 68.2 ± 13.4 years). Age correlated with all six cognitive domains and the total score, while sex exhibited smaller, domain-specific effects. In unadjusted analyses, total reading time showed the strongest associations with all cognitive domains (p < 0.001), while fixation duration, fixation frequency, and long or ultra-long fixations showed selective associations with orientation. After adjusting for age and sex, total reading time, total fixation time and average fixation time remained significant predictors.

Conclusions:

Total reading time emerged as a robust, age-independent eye-tracking marker of cognitive performance. Fixation-related metrics showed domain-specific associations, particularly with the puzzle game hobbies domain of the cognitive assessment. Wearable smart glasses with integrated eye tracking may provide a rapid, non-invasive, and scalable approach for digital cognitive screening in clinical and real-world settings.


 Citation

Please cite as:

Chuang BBS, Tseng TW, Sung PW, Shen HC, Chu WT, Wu CH, Lee YW, Chen YR, Yeh HY, Hsu HY, Yang YY, Hwang DK

Wearable Eye-Tracking Metrics From Smart Glasses for Cognitive Assessment: A Prospective Digital Health Study

JMIR Preprints. 17/04/2026:98654

DOI: 10.2196/preprints.98654

URL: https://preprints.jmir.org/preprint/98654

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