Healthy Subjects Clinical Trial
Official title:
Identification of Physiological and Behavioural Biomarkers to Predict Take-over Control Quality in Level 3 Conditionally Automated Vehicles
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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