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| ID | Type | Description | Link |
|---|---|---|---|
| ID-RCB (ANSM number) | Other Identifier | 2019-A01524-53 |
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| Name | Class |
|---|---|
| University of Bordeaux | OTHER |
| University Hospital, Bordeaux | OTHER |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Driving session | Experimental | The volunteers will be placed in a driving simulator that will simulate autonomous highway driving. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Driving simulator sessions | Behavioral | The volunteers will be placed in a driving simulator that will simulate autonomous highway driving. This autonomous driving will be interrupted by take-over requests related to events that disrupt autonomous driving. During autonomous driving, the driver will have to disengage from driving by performing non-related driving tasks. During each non-related driving tasks, a take-over request will be sent. Electrophysiological (EEG, ECG, EDA, EMG, respiration) and behavioural data will be recorded before, during and after the take-over control. |
| Measure | Description | Time Frame |
|---|---|---|
| Quality of driving take-over behaviour | Quality of driving take-over behaviour (Good/bad) will be assessed by collision (collision or driving off the road) and critical encounters (Time To Collision). Time to collision (TTC) refers to the time required for the vehicle to collide with the stationary obstacle obstructing the driving lane if it continues at its speed at the time it changes to the next lane completely. Good : no collision AND TTC >= 1.5 secondes Bad : collision or no collision AND TTC < 1.5 secondes | 8 secondes after take-over request |
| Measure | Description | Time Frame |
|---|---|---|
| EEG (electroencephalogram) | Physiological parameter: EEG will be recorded and Alpha, theta and gamma activity will be analyzed in the waking EEG. | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| ECG (electrocardiogram) |
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Inclusion Criteria:
Common inclusion criteria:
Healthy volunteers specific inclusion criteria:
ADHD patients specific inclusion criteria:
Exclusion Criteria:
Healthy volunteers specific inclusion criteria:
ADHD patients specific inclusion criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Pierre PHILIP, MDPhD | Bordeaux University Hospital - Bordeaux University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bordeaux University Hospital | Bordeaux | 33000 | France |
Patient could request investigator or Data Protection Officer an access to IPD according to French regulation (act No. 78-17 of 6 January 1978 on data processing, data files and individual liberties, amended by act No. 2004-801 of 6 August 2004) and he EU General Data Protection Regulation (GDPR) of 27 april 2016 applicable since 25 May 2018.
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| ID | Term |
|---|---|
| D001289 | Attention Deficit Disorder with Hyperactivity |
| ID | Term |
|---|---|
| D019958 | Attention Deficit and Disruptive Behavior Disorders |
| D065886 | Neurodevelopmental Disorders |
| D001523 | Mental Disorders |
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Monocentric preliminary study including an experimental driving session in a driving simulator.
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Physiological parameter : ECG recordings and heart rate variability based on time and frequency domain will be analyzed. |
| during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| EMG (electromyogram) | Physiological parameter : surface EMG will be recorded and Derive Average Rectified, derive Integrated Root and means Square EMG will be analyzed and EMG Frequency & Power Analysis. | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Electrodermal activity 1 (EDA) | Physiological parameter : EDA will be recorded and skin conductance level analyzed. | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Electrodermal activity 2 (EDA) | Physiological parameter : EDA will be recorded and skin conductance response analyzed. | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Respiration | Physiological parameter : Respiratory frequency recorded | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Physical activity | Physiological parameter : Physical activity expressed in count/min | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Eye tracking | Physiological parameter :Eye tracking will be recorded and point of gaze, Perclos, blinks, diameters of pupils analyzed. | during the 2 minutes before the take-over request, during take-over control and the 2 minutes after the take-over control |
| Subjective driving take-over control quality: Visual analogic scale | Visual analogue scale to assess subjective driving take-over control quality (Subjective scale). The scale ranges from 0 " bad" to 100 "good" | 8 secondes after take-over request |
| Subjective level of attention and distraction before take-over control request | Visual analogue scale to assess subjective level of attention and distraction just before take-over control request The scale ranges from 0 "attentive" to 100 "inattentive" | 8 secondes after take-over request |