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The Mind-Wandering Phenomenon While Driving: A Systematic Review

Gheorghe-Daniel Voinea, Florin Gîrbacia, Răzvan Gabriel Boboc, Cristian-Cezar Postelnicu

2025Information5 citationsDOIOpen Access PDF

Abstract

Mind wandering (MW) is a significant safety risk in driving, yet research on its scope, underlying mechanisms, and mitigation strategies remains fragmented across disciplines. In this review guided by the PRISMA framework, we analyze findings from 64 empirical studies to address these factors. The presented study quantifies the prevalence of MW in naturalistic and simulated driving environments and shows its impact on driving behaviors. We document its negative effects on braking reaction times and lane-keeping consistency, and we assess recent advancements in objective detection methods, including EEG signatures, eye-tracking metrics, and physiological markers. We also identify key cognitive and contextual risk factors, including high perceived risk, route familiarity, and driver fatigue, which increase MW episodes. Also, we survey emergent countermeasures, such as haptic steering wheel alerts and adaptive cruise control perturbations, designed to sustain driver engagement. Despite these advancements, the MW research shows persistent challenges, including methodological heterogeneity that limits cross-study comparisons, a lack of real-world validation of detection algorithms, and a scarcity of long-term field trials of interventions. Our integrated synthesis, therefore, outlines a research agenda prioritizing harmonized measurement protocols, on-road algorithm deployment, and rigorous evaluation of countermeasures under naturalistic driving conditions.

Topics & Concepts

Scope (computer science)Software deploymentComputer sciencePsychological interventionConsistency (knowledge bases)Risk analysis (engineering)Empirical researchApplied psychologyPsychologyArtificial intelligenceBusinessProgramming languagePhilosophyEpistemologyPsychiatryOperating systemMind wandering and attentionSleep and Wakefulness ResearchEEG and Brain-Computer Interfaces