Walking the Line: Planned Trajectory of Autonomous Cars on Driver Takeover Behavior
Disciplines
Cognitive Psychology | Human Factors Psychology
Abstract (300 words maximum)
Previous research on takeover behavior assumed that even when an automated vehicle (AV) reaches its operational limit, the AV can release the takeover request in a timely manner. However, it is also reasonable to assume that an AV that reached its functional limit crashes into something without releasing a takeover request at all. Even in such an extreme and disastrous situation, a head-up display (HUD) that shows the AV’s planned route using augmented reality (AR) may allow the human driver to notice the potential crash and takeover control of the AV in time. To test this idea, we conducted a driving-simulator experiment where participants monitored the driving status of an AV with or without the AR-HUD that shows the planned route of the car. The data are currently being collected and the participants’ takeover performance will be compared between the two conditions (with vs. without the AR-HUD).
Academic department under which the project should be listed
RCHSS - Psychological Science
Primary Investigator (PI) Name
Dr. Kyung Hun Jung
Additional Faculty
Dr. Jack Labriola, Department of Technical Communication and Interactive Design, jlabrio1@kennesaw.edu
Walking the Line: Planned Trajectory of Autonomous Cars on Driver Takeover Behavior
Previous research on takeover behavior assumed that even when an automated vehicle (AV) reaches its operational limit, the AV can release the takeover request in a timely manner. However, it is also reasonable to assume that an AV that reached its functional limit crashes into something without releasing a takeover request at all. Even in such an extreme and disastrous situation, a head-up display (HUD) that shows the AV’s planned route using augmented reality (AR) may allow the human driver to notice the potential crash and takeover control of the AV in time. To test this idea, we conducted a driving-simulator experiment where participants monitored the driving status of an AV with or without the AR-HUD that shows the planned route of the car. The data are currently being collected and the participants’ takeover performance will be compared between the two conditions (with vs. without the AR-HUD).