GPS Effect on a Take-Over Response from a Level-2 Automated Vehicle
Disciplines
Cognition and Perception
Abstract (300 words maximum)
Automated vehicles (AV) are becoming a highly popular technology that will flourish even more in the future. As easy as it is to become dependent, it takes a great deal of awareness to correct any mistakes that the vehicle might make. To observe how people react in level-2 automated vehicles when a silent failure occurs, we have created a concept that focuses on the effect that the navigating system has on take-over performance. Silent failure is when the level-2 automated vehicle malfunctions without notifying the driver. We hypothesize that, in a T-intersection, when the driver must perform the take-over of the AV to avoid a crash, they will turn the wheel in the direction of what shows on the GPS (Global Positioning System)/planned trajectory route. To test this, we used a driving simulator in which participants are told that there is a GPS showing their planned route on their windshield. We hypothesize that participants will avoid the crash by turning the wheel in the same direction that the GPS was taking the vehicle (e.g., GPS was heading right, and the participant turned the wheel right). We are currently collecting the data.
Keywords: automated vehicles, take–over performance, silent failure
Academic department under which the project should be listed
RCHSS - Psychological Science
Primary Investigator (PI) Name
Kyung Hun Jung
GPS Effect on a Take-Over Response from a Level-2 Automated Vehicle
Automated vehicles (AV) are becoming a highly popular technology that will flourish even more in the future. As easy as it is to become dependent, it takes a great deal of awareness to correct any mistakes that the vehicle might make. To observe how people react in level-2 automated vehicles when a silent failure occurs, we have created a concept that focuses on the effect that the navigating system has on take-over performance. Silent failure is when the level-2 automated vehicle malfunctions without notifying the driver. We hypothesize that, in a T-intersection, when the driver must perform the take-over of the AV to avoid a crash, they will turn the wheel in the direction of what shows on the GPS (Global Positioning System)/planned trajectory route. To test this, we used a driving simulator in which participants are told that there is a GPS showing their planned route on their windshield. We hypothesize that participants will avoid the crash by turning the wheel in the same direction that the GPS was taking the vehicle (e.g., GPS was heading right, and the participant turned the wheel right). We are currently collecting the data.
Keywords: automated vehicles, take–over performance, silent failure