Estimation of Effort in Calculation Tasks Using Blink Count

In this study, experiments were carried out with high school and university students to determine whether drowsiness and concentration can be quantified by counting participants’ blinks during the calculation tasks. Physiological and behavioral indicators like blink count, questionnaire results, and the results of calculation tasks, were used to investigate the correlations between them. For university students, the results showed a positive correlation (r = 0.62) between the variance of blink count and the number of responses to the calculation task and a negative correlation (r = −0.30) between the number of responses and drowsiness. For high school students, a negative correlation (r = −0.47) was found between the average blink count during the task and levels of anxiety. Anxiety levels also showed a negative correlation (r = −0.47) with accuracy. These findings indicate that blink count is a useful indicator for effort level and suggest further links between eye movement, concentration, and psychological state.

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Publication Details

Journal
International Symposium on Affective Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.5057/isase.2025-c000012
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
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article

Estimation of Effort in Calculation Tasks Using Blink Count

Hiroki Horiuchi, Hisaya Tanaka, Shunki SUZUKI
International Symposium on Affective Science and Engineering
Intelligent Tutoring Systems and Adaptive Learning
article

Estimation of Effort in Calculation Tasks Using Blink Count

Hiroki Horiuchi, Hisaya Tanaka, Shunki SUZUKI
article en

Abstract

In this study, experiments were carried out with high school and university students to determine whether drowsiness and concentration can be quantified by counting participants’ blinks during the calculation tasks. Physiological and behavioral indicators like blink count, questionnaire results, and the results of calculation tasks, were used to investigate the correlations between them. For university students, the results showed a positive correlation (r = 0.62) between the variance of blink count and the number of responses to the calculation task and a negative correlation (r = −0.30) between the number of responses and drowsiness. For high school students, a negative correlation (r = −0.47) was found between the average blink count during the task and levels of anxiety. Anxiety levels also showed a negative correlation (r = −0.47) with accuracy. These findings indicate that blink count is a useful indicator for effort level and suggest further links between eye movement, concentration, and psychological state.

International Symposium on Affective Science and EngineeringVol. ISASE2025(0)
Kogakuin University (JP)
Openalex Percentile: Top 94%
Intelligent Tutoring Systems and Adaptive Learning
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Estimation of Effort in Calculation Tasks Using Blink Count — Hiroki Horiuchi, Hisaya Tanaka, et al. · International Symposium on Affective Science and Engineering (2025) | TGRS Research Map | TGRS