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Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review.

Suzan Ayas¹, Birsen Donmez¹, Xing Tang^1,2

¹University of Toronto, Toronto, ON, Canada.

|November 20, 2023

Summary

Driver monitoring systems (DMS) show promise for in-vehicle drowsiness interventions, but research gaps remain. Future studies should focus on driver interaction and long-term effects for safer driving.

Keywords:

countermeasures driver state detection fatigue in-vehicle interventions sleep

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Area of Science:

Human-Computer Interaction
Automotive Safety
Cognitive Science

Background:

Driver monitoring systems (DMS) are increasingly used to combat drowsiness.
Optimal utilization of DMS for guiding driver attention remains unclear.

Purpose of the Study:

To review existing research on in-vehicle drowsiness interventions using DMS.
To identify research gaps in this field.

Main Methods:

A systematic scoping review adhering to PRISMA guidelines.
Searched five databases (ACM, Scopus, IEEE, TRID, SAE) in April 2022.
Included studies on in-vehicle drowsiness interventions using DMS in driving contexts.

Main Results:

Twenty studies were included, primarily using auditory warnings (14/16) and multistage interventions (12/20).
Interventions positively impacted sleepiness, driving performance, and user evaluations.
Effectiveness across different types of fatigue (passive vs. active) is uncertain.

Conclusions:

Current research prioritizes DMS sensor development over driver interaction.
Further intervention studies are needed, particularly those examining long-term effects.
Identified gaps and limitations will guide future research and development of drowsy driving safety systems.