Human-Machine Interfaces to Convey Feedback in Automated Vehicles The next decade will see a rapid increase in the prevalence of partial and conditional vehicle automation, specifically SAE Levels 2 and 3. In these levels of automation, the driver is expected to act ...
The Gap Effect in Conditionally Automated Driving Attentional disengagement and reengagement is critical in automated driving, where drivers may need to move attention to and from the dynamic driving task. This study investigates the application of t ...
Using Driver State Detection in Automated Driving The next several years will see a large increase in automated vehicle capabilities. High levels of automation will require bi-directional transfers of control between the driver and vehicle. These con ...
Using Naturalistic Driving Data to Develop Simulator Scenarios A variety of techniques have been utilized to understand driver behavior as a means toward identifying the factors that contribute to crashes and driver safety. Such approaches include driving simulat ...
