Effects of Cognitive Load on Takeover Requests in Conditionally Automated Driving
| 项目名称： | Effects of Cognitive Load on Takeover Requests in Conditionally Automated Driving |
| 摘要： | With increases in vehicle automation, drivers can engage in non-driving related tasks while trusting automation to maintain driving control. When the vehicle issues a takeover request (TOR), drivers must disengage attention from their non-driving task to direct attention toward the task of driving. Attentional disengagement takes time, making takeover requests limited by drivers’ attentional control. In the current project, the research team investigates how the cognitive complexity, or cognitive load, of the non-driving task impacts the time to disengage attention and respond to a TOR. Specifically, is the cost in disengaging attention from a non-driving task and switching to regaining vehicle control affected by the difficulty, or cognitive load, of the non-driving related task? Participants will perform a simulated automated drive while performance a secondary non-driving task under either a high- or low-cognitive load. The team will measure the impact of the cognitive load on driving parameters (e.g., lane position) and the time and quality of the driver’s takeover. |
| 状态： | Inactive |
| 资金： | 44394 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 执行机构： | University of Iowa, Iowa City |
| 开始时间： | 20210801 |
| 预计完成日期： | 20221231 |
| 主题领域： | Highways；Safety and Human Factors；Vehicles and Equipment |
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