identification of biomarkers to predict driver take-over control quality

Conditions: Healthy Subjects; Attention Deficit

Summary: at level 3 conditionally automated, the vehicle ensures driving and the driver disengages from driving to perform another activity independent of driving (ex: read a book, play on his phone ....). however, drivers are expected to be available to take over control for the case of system failure or limitation. this take-over control must take place in a limited time, very short, of the order of a few seconds. to take-over control of the vehicle quickly and efficiently, the driver must be, at the time of take-over, vigilant, efficient, and attentive to the environment and focused on the take-over of manual driving. predicting the driver's reengagement capabilities to ensure that the driver will be able to take-over control of the vehicle is crucial at level 3 of autonomous driving. the objective of antidote is to determine physiological and behavioural parameters capable of predicting the take-over quality in level 3 conditionally automated vehicles in a simulated highway driving situation in healthy drivers or drivers with attention disorders.

at level 3 conditionally automated, the vehicle ensures driving and the driver disengages from driving to perform non-related driving tasks (ex: read a book, play on his phone ....). however, drivers are expected to be available to take over control for the case of system failure or limitation. this take-over control must take place in a limited time, very short, of the order of a few seconds. to take-over control of the vehicle quickly and efficiently, the driver must be, at the time of take-over, vigilant, efficient, and attentive to the environment and focused on the take-over of manual driving. predicting the driver's reengagement capabilities to ensure that the driver will be able to take-over control of the vehicle is crucial at level 3 of autonomous driving. in this context, the objective of antidote is to determine physiological and behavioural parameters capable of predicting the take-over quality in level 3 conditionally automated vehicles in a simulated highway driving situation. this study will examine how engagement will impact take-over control quality in 6 non-driving related secondary tasks. a driving simulator study will be conducted and data from a total of 32 healthy drivers and 16 drivers with attention disorders will be used to evaluate take-over quality. electrophysiological (eeg, ecg, eda, emg, respiration) and behavioral data will be recorded before, during and after the take-over control.

Eligibility criteria:
inclusion criteria: common inclusion criteria: * male or female aged between 20 and 75 years old * bmi between 18 and 27 * subject size between 1.50 m and 1.95 m * without sleep complains (item of basic nordic sleep questionnaire ≤ 3) * without excessive daytime sleepiness (epworth score ≤ 11) * non-professional drivers * subjects with a driver's license for at least one year * subjects driving at least 5000 km per year. * having normal visual acuity (correction with lenses accepted) and normal color vision * affiliated to a national health service * having given written informed consent to participate in the trial. healthy volunteers specific inclusion criteria: * scl90r score \< 60 for anxiety and depression subscales * mmse ≥ 30 adhd patients specific inclusion criteria: * patients with an adhd disorder according to dsm 5, * patients agreeing to discontinue psychostimulant treatment 48 hours prior to the experimental session, exclusion criteria: * severe life-threatening conditions in the short term, * unstable endocrine diseases * progressive cardiovascular diseases * progressive neurological diseases treated or not, * addiction to a substance * night and shift-workers who has taken a constraints in the last 72 hours, * psychotropic medication taking * benzodiazepine or z-drug medication taking * cardiotropic medication taking * volunteers who need glasses to drive * having simulator-sickness during the first practice session healthy volunteers specific inclusion criteria: * psychiatric co-morbidities: current major depressive episode, current hypomanic or manic episode, psychotic disorders, autism spectrum disorder * exceeded consumption of coffee, tea or caffeinated drinks(\> 5 cups / day) * exceeded consumption of alcohol drinks (\> 2 drinks / day during the last 6 months) adhd patients specific inclusion criteria: * psychiatric co-morbidities: current major depressive episode, current hypomanic or manic episode, psychotic disorders, autism spectrum disorder (except adhd) * exceeded consumption of alcohol drinks(\> 3 drinks / day during the last 6 months)

Keywords: automated driving conditional automation driver distraction driver take-over quality biomarkers