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首页> 外文会议>Human Factors and Ergonomics Society annual meeting;HFES 2002 >VOICE INFORMATION SYSTEM ADAPTED TO DRIVER'S MENTALWORKLOAD
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VOICE INFORMATION SYSTEM ADAPTED TO DRIVER'S MENTALWORKLOAD

机译：适应驾驶员心理负荷的语音信息系统

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摘要

There is a risk that voice messages from in-vehicle information systems may cause a driver to be distractedrnwhile driving. To avoid such a risk the message systems need to be adapted to drivers' mental workload.rnSuch adaptive systems deliver voice messages when drivers' mental workload is low and postpone thernmessages when the driver workload is high. It is important for the system to estimate the current driverrnworkload from car sensors such as car speed, steering wheel angle, accelerator pedal position and so on. Inrnorder to find some relations between the driver's mental workload and the data from car sensors, a dual taskrnexperiment was conducted on a public road. In the experiment, participants performed a memory task whilerndriving an experimental car. At the same time, the data from the car sensors were recorded. The correlationrncoefficients between the memory task performance and the data from car sensors showed that release of thernaccelerator pedal was the most significant indicator of workload. Based on these results a workload estimatorrnwas developed, which has been applied to a voice information delivery test system. The potential of a voicerninformation system that adapts to the driver's mental workload was evaluated.
机译：来自车载信息系统的语音消息可能会导致驾驶员在驾驶时分心。为了避免这种风险，需要使消息系统适应驾驶员的精神工作量。此类自适应系统在驾驶员的精神工作量较低时传递语音消息，而在驾驶员的工作量较高时推迟语音消息。对于系统而言，从汽车传感器（例如汽车速度，方向盘角度，油门踏板位置等）估算当前驾驶员的工作量非常重要。为了找到驾驶员的精神工作量与汽车传感器数据之间的某种关系，在公共道路上进行了双重任务实验。在实验中，参与者在驾驶实验汽车的同时执行记忆任务。同时，记录了来自汽车传感器的数据。记忆任务性能与汽车传感器数据之间的相关系数表明，加速踏板的释放是工作量的最重要指标。基于这些结果，开发了一种工作量估计器，该估计器已应用于语音信息传递测试系统。评估了适合驾驶员精神工作量的语音信息系统的潜力。

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