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

Abstract

The present study examines sex differences in fatigue and vis- ual attention during simulated driving. Using a driving simulator, we eval- uated the effects of task duration and sex differences on fatigue-related eye- tracking metrics, including blink duration, fixation rate, and blink rate. Re- sults indicate that fixation rate was significantly influenced by task duration but remained consistent across sexes, whereas blink duration exhibited mar- ginal 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 fa- tigue. This research advances the understanding of sex-specific fatigue re- sponses in dynamic tasks and underscores the potential of eye-tracking tech- nologies for improving road safety.
Original languageEnglish
Number of pages18
JournalInternational Journal of Interactive Mobile Technologies
Publication statusAccepted/In press - 2025
MoE publication typeA1 Journal article-refereed

Keywords

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

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