NCT04188626

Identification of Biomarkers to Predict Driver Take-over Control Quality

Identification of Physiological and Behavioural Biomarkers to Predict Take-over Control Quality in Level 3 Conditionally Automated Vehicles

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 32 (actual)
• Sponsor: PSA Automobiles S.A. · Industry
• Sex: All
• Age: 20 Years – 75 Years
• Healthy volunteers: Accepted

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.

Detailed description

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.

Conditions

• Healthy Subjects
• Attention Deficit

Interventions

Type	Name	Description
BEHAVIORAL	Driving simulator sessions	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.

Timeline

• Start date: 2019-12-09
• Primary completion: 2020-08-06
• Completion: 2020-08-06
• First posted: 2019-12-06
• Last updated: 2020-09-21

Locations

1 site across 1 country: France