Behavioural Reactivation and Subjective Assessment of the State of Vigilance—Application to Simulated Car Driving

Bonnefond, Anne; Rogé, Joceline; Muzet, Alain

doi:10.1080/10803548.2006.11076684

Cited by 6 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The deterioration of driving performance and consistency of behavioural outcomes with previous research (10,11) suggest that behavioural observation may provide useful insight into the state of vigilance not only in healthy drivers, but also in drivers with OSA. Behavioural observation represents a novel and unobtrusive method of assessment that utilises multiple sources of data measurement (i.e.…”

Section: Conclusionsupporting

confidence: 59%

“…Though some inferences may be drawn via comparisons with previous research in healthy participants ( 10), further research is required to compare OSA patients to a healthy subjects of similar age, under identical procedures. Despite the sample size (n=17) being comparable to similar studies (10,11), only seven participants experienced crash events. Crashes often occurred in clusters, limiting analysis to the first crash event.…”

Section: 3 Study Limitationsmentioning

confidence: 83%

“…Non-verbal behaviours have been found to precede periods of low vigilance, while postural adjustments and self-centred gestures occur concurrently and subsequent to periods of low vigilance. Such behaviours may act as defence mechanisms to sleepiness as their stimulatory effect can be reactivating (11). However, despite effectiveness in identifying impaired driver vigilance, behavioural observation has not been applied to the task of identifying specific on-road events.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Behavioural Observation as a Means of Assessing Sleepiness Related Driving Impairment in Obstructive Sleep Apnea

et al. 2020

View full text Add to dashboard Cite

This study compared the temporal pattern of collateral behaviours (actions not directly related to task performance) in obstructive sleep apnea (OSA) drivers under monotonous driving conditions following sleep restriction versus normal sleep. Seventeen patients with untreated severe OSA completed a 90-minute driving simulator task during mid-afternoon under two experimental conditions: prior normal habitual sleep (~8h) and prior sleep restriction (4h time in bed). Steering deviation and crash events were identified using a driving simulator. Collateral behaviours (self-centred gestures, non-verbal facial activities, postural adjustments, ludic activities and eye closures) were identified using video recording and a behavioural ethogram. Participants demonstrated increased steering deviation over the drive (p<0.001) and following sleep restriction (p<0.001). All collateral behaviours, except non-verbal facial activities, increased over the drive (all p<0.01). Compared to normal sleep condition, the incidence rate was 2.1 times higher for eye closures (95%CI 1.75-2.60) and 1.5 times higher for postural adjustments (95%CI 1.29-1.72) following sleep restriction, while ludic behaviours reduced by 50% (IRR 0.53, 95%CI 0.36-0.78), all p<0.01. In the 10 minute period prior to simulator crash events, eye closure frequency increased compared to equivalent periods without a crash event 2.1 (95%CI 1.4-3.8, p<0.01). Kaplain-Meier analyses showed a progressive cessation of non-verbal facial activities leading up to crash events (c²=6.2, p=0.013). Although eye-closure appears to be a more sensitive marker of poor vigilance, behavioural observation could provide a novel further method for assessing vigilance failure in OSA and could assist in the development of novel video-based in-car devices for detection of driver sleepiness/fatigue.

show abstract

Section: Conclusionsupporting

confidence: 59%

Section: 3 Study Limitationsmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Behavioural Observation as a Means of Assessing Sleepiness Related Driving Impairment in Obstructive Sleep Apnea

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In research publications, it is common to see driving vigilance expressed as interest/aim in many different ways. Among others, examples include: labelling driving in part or whole as some kind of vigilance task/test (Inkeri, 2010;Mets et al, 2008;Thiffault & Bergeron, 2003), vigilance as a contributing or critical factor for driving safety (CARRS-Q, 2013;Michael & Meuter, 2006;Vrignon & Rakotonirainy, 2007), driving as including/requiring large amounts of vigilance behaviour/ demands (Bloomer, 1962;Boverie, Giralt, & Le Quellec, 2008;Mackie & O'Hanlon, 1977) or driving as being comparable to/resembling a vigilance task (Atchley & Chan, 2011;Chan, 2008;Schmidt et al, 2007). Notably, consideration has also been raised to the unambiguous application of vigilance literature to specific driving scenarios like driver supervision of ACC control (Ervin, Bogard, & Fancher, 2000), the absence of regular engagements and distractions that are available on a normal highway/normal road versus in a tunnel (Jayakumar, Novak, Faber, & Bouchner, 2014) and to the relevancy of focus of vigilance problems on straight roads rather than in curves, where it is highly unlikely for someone to fall asleep (Giusti, Zocchi, & Rovetta, 2009).…”

Section: Vigilance and Signal Stimuli Concerns In The Driving Literaturementioning

confidence: 99%

From Mackworth’s clock to the open road: A literature review on driver vigilance task operationalization

Cabrall

Happee

Winter

2016

Transportation Research Part F: Traffic Psychology and Behaviou

View full text Add to dashboard Cite

Objective: This review aimed to characterize tasks applied in driving research, in terms of instructions/conditions, signal types/rates, and component features in comparison to the classic vigilance literature. Background: Driver state monitoring is facing increased attention with evolving vehicle automation, and real-time assessment of driver vigilance could provide widespread value across various levels (e.g., from monitoring the alertness of manual drivers to verifications of readiness in transitions of control between automated and manual driving). However, task requirement comparisons between the classic vigilance research and vigilance in car driving have not to date been systematically conducted. Method: This study decomposed the highest-cited vigilance literature of each full decade since the 1940s for the situational features of the renowned vigilance decrement phenomenon originating from Mackworth (1948). A consensus set of 18 different situational features was compiled and included for example an (1) isolated (2) subject. .. perceiving (3) rare (4) signals. .. against (10) frequent (11) noise. .. in a (17) prolonged (18) task. Next, we reviewed 69 experimental vigilance task operationalizations (i.e., required signal detection and response) within 39 publications concerned with driving vigilance. All vigilance tasks were coded as ''driving vigilance tasks" or ''non-driving vigilance tasks" based on the perceptual signal and response action both belonging to normal driving activity or not. Presence, absence, and unreported presence/absence of each of the 18 features was rated for each task respectively as ''overlap", ''contrary", and ''unspecified". In conjunction, instructions/environmental conditions, signal definitions, signal rates, and summaries of the experimental vigilance tasks were extracted. Results: A majority of driving vigilance tasks was performed in simulators (69%) compared to on-road (28%) and watching videos (3%) along with large differences in task conditions. Participants had to maintain fixed speed/lane positions in the simulators in higher proportion (74%) than on the road (36%) where they had only to drive ''normally" and/or by loose conventions like ''according to the law" more often (55% versus 15%). Additionally, presence of other traffic was found more often on-road (91%) than in simulators (48%). A specification of signals to detect and react to was found present within/for driving less often (59%) than alongside/in conjunction with driving (100%). Likewise, rates of signals (i.e., frequency of signal occurrence) were reported more often for non-driving vigilance tasks (80%) than in driving vigilance tasks (21%). For driving vigilance tasks, the highest overlap was 12 of the 18 features present (67%). On average, results showed relatively low levels of classic feature overlap (36%) with high rates of unspecified feature presence (46%) for driving vigilance tasks compared to non-driving vigilance tasks with higher classic feature overlap (64%) and fewer features unspecified (1...

show abstract

Messverfahren zur Erfassung vigilanzassoziierter Prozesse

Klösch

Hauschild

Zeitlhofer

2020

Ermüdung Und Arbeitsfähigkeit

View full text Add to dashboard Cite

Behavioural Reactivation and Subjective Assessment of the State of Vigilance—Application to Simulated Car Driving

Abstract: The frequency of some behaviour (such as self-centred gestures) increases during a task that leads toCorrespondence and requests for offprints should be sent to

Cited by 6 publications

References 23 publications

Behavioural Observation as a Means of Assessing Sleepiness Related Driving Impairment in Obstructive Sleep Apnea

Behavioural Observation as a Means of Assessing Sleepiness Related Driving Impairment in Obstructive Sleep Apnea

From Mackworth’s clock to the open road: A literature review on driver vigilance task operationalization

Messverfahren zur Erfassung vigilanzassoziierter Prozesse

Contact Info

Product

Resources

About