ArticleHuman factors2024
Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review.
Article in Human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07434921 (TESTING AN MTM THEORY-BASED INTERVENTION ON REDUCING DROWSY DRIVING BEHAVIOR, "STAY AWAKE, STAY ALIVE, ©" AMONG COLLEGE STUDENTS), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Testing an mtm theory-based intervention on reducing drowsy driving behavior, "stay awake, stay alive, ©" among college students: an educational randomized controlled trial
Who cites it
5 citing papers in PubMed, 27 citations in OpenAlex.
- Smart Steering Wheel Prototype for In-Vehicle Vital Sign Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Driver Drowsiness Detection using Machine Learning and Deep Learning Techniques: A Systematic Review.Archives of academic emergency medicine · 2026Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion.Scientific reports · 2025Article
- Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems.Human factors · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the scope of available research and to identify research gaps on in-vehicle interventions for drowsiness that utilize driver monitoring systems (DMS).
backgroundDMS are gaining popularity as a countermeasure against drowsiness. However, how these systems can be best utilized to guide driver attention is unclear.
methodsA scoping review was conducted in adherence to PRISMA guidelines. Five electronic databases (ACM Digital Library, Scopus, IEEE Xplore, TRID, and SAE Mobilus) were systematically searched in April 2022. Original studies examining in-vehicle drowsiness interventions that use DMS in a driving context (e.g., driving simulator and driver interviews) passed the screening. Data on study details, state detection methods, and interventions were extracted.
resultsTwenty studies qualified for inclusion. Majority of interventions involved warnings (
conclusionLiterature mainly focused on developing sensors and improving the accuracy of DMS, but not on the driver interactions with these technologies. More intervention studies are needed in general and for investigating their long-term effects. APPLICATION: We list gaps and limitations in the DMS literature to guide researchers and practitioners in designing and evaluating effective safety systems for drowsy driving.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.