Walking the Line: Planned Trajectory of Autonomous Cars on Driver Takeover Behavior

Presenters

    Primary Investigator (PI) Name

    Dr. Kyung Hun Jung

    Department

    RCHSS - Psychological Science

    Abstract

    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).

    Disciplines

    Cognitive Psychology | Human Factors Psychology

    This document is currently not available here.

    Share

    COinS
     

    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).