AI and Mobile Technologies for Driver Fatigue Detection: Sex Differences Revealed by Eye-Tracking Metrics

Julia Bend, Markus Gödker, Thomas Franke

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

The present study examines sex differences in fatigue and visual attention during simulated driving. Using a driving simulator, we evaluated the effects of task duration and sex differences on fatigue-related eye-tracking metrics, including blink duration, fixation rate, and blink rate. Results indicate that fixation rate was significantly influenced by task duration but remained consistent across sexes, whereas blink duration exhibited marginal sex differences and a significant interaction with task duration, with females demonstrating longer blink durations compared to males. These findings suggest that males and females adopt distinct patterns in managing fatigue over prolonged tasks, with implications for visual attention and fatigue. This study advances the understanding of sex-specific fatigue responses in dynamic tasks and underscores the potential of eye-tracking technologies for improving road safety.

Original languageEnglish
Article number11
Pages (from-to)143-158
Number of pages18
JournalInternational Journal of Interactive Mobile Technologies
Volume19
Issue number11
DOIs
Publication statusPublished - 5 Jun 2025
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the German Research Foundation (DFG) under the name “AMORi” (project number 498999989), by the German Federal Ministry of Education and Research (BMBF) under the name “HI.Lübeck” (grant number 03IHS245B), and by the Åbo Akademi University Foundation and Gösta Branders research fund. The authors would like to thank Anssi Öörni, Egor Bend, Jan Heidinger, Lukas Bernhardt, Leonardt Wagner, Tobias Harms, Elise Banach, and Alexander Müller for their contributions to the success of this research.

Keywords

  • Driving
  • Fatigue
  • Eye tracking
  • Sex differences
  • Visual attention

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