Alexandra Fort

Mind wandering and driving: responsibility case-control study

Objective To assess the association between mind wandering (thinking unrelated to the task at hand) and the risk of being responsible for a motor vehicle crash. Design Responsibility case-control study. Setting Adult emergency department of a university hospital in France, April 2010 to August 2011. Participants 955 drivers injured in a motor vehicle crash. Main outcome measures Responsibility for the crash, mind wandering, external distraction, negative affect, alcohol use, psychotropic drug use, and sleep deprivation. Potential confounders were sociodemographic and crash characteristics. Results Intense mind wandering (highly disrupting/distracting content) was associated with responsibility for a traffic crash (17% (78 of 453 crashes in which the driver was thought to be responsible) v 9% (43 of 502 crashes in which the driver was not thought to be responsible); adjusted odds ratio 2.12, 95% confidence interval 1.37 to 3.28). Conclusions Mind wandering while driving, by decoupling attention from visual and auditory perceptions, can jeopardise the ability of the driver to incorporate information from the environment, thereby threatening safety on the roads.

Distraction and driving: results from a case-control responsibility study of traffic crash injured drivers interviewed at the emergency room

BACKGROUNDnUse of cellular phones has been shown to be associated with crashes but many external distractions remain to be studied.nnnOBJECTIVEnTo assess the risk associated with diversion of attention due to unexpected events or secondary tasks at the wheel.nnnDESIGNnResponsibility case-control study.nnnSETTINGnAdult emergency department of the Bordeaux University Hospital (France) from April 2010 to August 2011.nnnPARTICIPANTSn955 injured drivers presenting as a result of motor vehicle crash.nnnMAIN OUTCOME MEASURESnThe main outcome variable was responsibility for the crash. Exposures were external distraction, alcohol use, psychotropic medicine use, and sleep deprivation. Potential confounders were sociodemographic and crash characteristics.nnnRESULTSnBeyond classical risk factor found to be associated with responsibility, results showed that distracting events inside the vehicle (picking up an object), distraction due to driver activity (smoking) and distracting events occurring outside were associated with an increased probability of being at fault. These distraction-related factors accounted for 8% of injurious road crashes.nnnLIMITATIONSnRetrospective responsibility self-assessment.nnnCONCLUSIONSnDiverted attention may carry more risk than expected. Our results are supporting recent research efforts to detect periods of driving vulnerability related to inattention.

The restless mind while driving: drivers’ thoughts behind the wheel

UNLABELLEDnRecent research has clearly shown that inattention when driving has an indisputable impact on road safety. Mind wandering (MW), an inattentional state caused by a shift in attention from the ongoing task to inner thoughts, is not only frequent in everyday activities but also known to impact performance. There is a growing body of research investigating the concept of MW, suggesting potential causes that could foster such a phenomenon. Only one epidemiological study has focused on this issue in a critical driving context (Galéra et al., 2012), and it revealed the harmful effects of MW in increasing the risk of a car crash. Experimental studies rather consider that driver would adduce in MW (Lemercier et al., 2014). When the driving context is too hard or the thought too difficult to proceed, driver reduced their MW. The aim of this paper is to examine this issue using the most recent trip of ordinary drivers whose MW state did not lead to a road accident. Using a questionnaire, information was collected about the participants most recent trip as a driver, including: (1) personal characteristics, (2) context in which MW occurs, (3) awareness of MW episodes and finally (4) characteristics of the thoughts.nnnRESULTSnrevealed that MW affected 85.2% of the drivers, who spent on average 34.74% of their trip in a MW state. Moreover, we found that the contexts which favor MW are situations in which less of the drivers attention is needed to drive, such as familiar commutes, monotonous motorways or by-passes, or when drivers were alone in their cars. In these MW situations, the drivers quickly became aware of their MW episodes. Thoughts tend to involve neutral private concerns, related to present- or future-oriented content. Our findings suggest that MW is a functional state aiming to solve current problems. Future investigations should focus on this critical concept of MW when driving, both to identify safety issues and to provide suitable solutions for drivers subject to a wandering mind.

The impact of false warnings on partial and full lane departure warnings effectiveness and acceptance in car driving

Abstract In the past, lane departure warnings (LDWs) were demonstrated to improve driving behaviours during lane departures but little is known about the effects of unreliable warnings. This experiment focused on the influence of false warnings alone or in combination with missed warnings and warning onset on assistance effectiveness and acceptance. Two assistance unreliability levels (33 and 17%) and two warning onsets (partial and full lane departure) were manipulated in order to investigate interaction. Results showed that assistance, regardless unreliability levels and warning onsets, improved driving behaviours during lane departure episodes and outside of these episodes by favouring better lane-keeping performances. Full lane departure and highly unreliable warnings, however, reduced assistance efficiency. Drivers’ assistance acceptance was better for the most reliable warnings and for the subsequent warnings. The data indicate that imperfect LDWs (false warnings or false and missed warnings) further improve driving behaviours compared to no assistance. Practitioner Summary: This study revealed that imperfect lane departure warnings are able to significantly improve driving performances and that warning onset is a key element for assistance effectiveness and acceptance. The conclusion may be of particular interest for lane departure warning designers.

Influence of lane departure warnings onset and reliability on car drivers' behaviors.

Lane departures represent an important cause of road crashes. The objective of the present study was to assess the effects of an auditory Lane Departure Warning System (LDWS) for partial and full lane departures (onset manipulation) combined with missed warnings (reliability manipulation: 100% reliable, 83% reliable and 66% reliable) on drivers performances and acceptance. Several studies indicate that LDWS improves drivers performances during lane departure episodes. However, little is known about the effects of the warning onset and reliability of LDWS. Results of studies which looked at forward collision warning systems show that early warnings tend to improve drivers performances and receive a better trust judgement from the drivers when compared to later warnings. These studies also suggest that reliable assistances are more effective and trusted than unreliable ones. In the present study, lane departures were brought about by means of a distraction task whilst drivers simulated driving in a fixed-base simulator with or without an auditory LDWS. Results revealed steering behaviors improvements with LDWS. More effective recovery maneuvers were found with partial lane departure warnings than with full lane departure warnings and assistance unreliability did not impair significantly drivers behaviors. Regarding missed lane departure episodes, drivers were found to react later and spend more time out of the driving lane when compared to properly warned lane departures, as if driving without assistance. Subjectively, LDWS did not reduce mental workload and partial lane departure warnings were judged more trustworthy than full lane departure ones. Data suggests the use of partial lane departure warnings when designing LDWS and that even unreliable LDWS may draw benefits compared to no assistance.

Digital, analogue, or redundant speedometers for truck driving: Impact on visual distraction, efficiency and usability

Existing literature does not draw conclusions as to which speedometer type is better for truck driving. A digital speedometer would be more beneficial when obtaining absolute and relative readings, while an analogue speedometer would be more efficient and less distracting when detecting dynamic speed changes. Redundant speedometers, which simultaneously present digital and analogue speedometers, appear increasingly in vehicles, but no information is available on their ergonomic qualities. This study compared three speedometers: digital speedometers, analogue speedometers, and redundant speedometers. This study compared the efficiency, usability and visual distraction measures for all three types of speedometers in a simulated truck driving setting. The task-dependant results were confirmed for the digital and analogue speedometer. The redundant speedometer combined the benefits of each type presented separately, which highlights interesting theoretical and applied implications.

Do distinct mind wandering differently disrupt drivers? Interpretation of physiological and behavioral pattern with a data triangulation method

MW is damaging for tasks requiring sustained and divided attention, for example driving. Recent findings seem to be indicating that off-task thoughts differently disrupt drivers. The present paper delved into characteristics of off-task thoughts to assess their respective detrimental impact on driving. Twenty volunteers had to declare their MW thoughts and get intentionally involved in Problem-Solving Thoughts (PST) according to instructions. Heart rate and oculometric behavior were collected during the two sessions. Results showed that MW and PST led to a fixed gaze. MW might also led to a cognitive effort necessary to switch from task-unrelated to task-related focus. Similarities and differences between intentional and unintentional off-task thoughts were discussed in greater detail. By designing a detection algorithm, it could be possible to detect disruptive MW during risky situations while permitting the mind to wander when the driving demand is low.