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A Validation Study on a Subjective Driving Workload Prediction Tool

机译：主观驾驶量预测工具的验证研究

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摘要

A variety of methods used to measure a driver's workload do not include information such as the driver's characteristics and attitudes. A subjective driving workload prediction tool (DWPT) was developed to overcome this limitation. The purpose of this study is to validate the DWPT, which is composed of three subfactors: the situational inadaptability, the risk-taking personality, and the interpersonal inadaptability. For this reason, we conducted the driving simulator experiment to gather the drivers' driving behaviors. The driving path scenario included various driving tasks. Thirty male drivers participated in this study. The analysis results showed that a driver's predicted score of subjective driving workload had a positive or a negative relation to their workload-related driving behaviors such as the operation of the indicator/steering/gas pedal and gaze behaviors. In particular, two subfactors, i.e., the risk-taking personality and the interpersonal inadaptability, were more closely related to their driving behaviors than the total predicted subjective driving workload and the situational inadaptability subfactor. These results suggest that a DWPT could be used to predict the drivers' subjective driving workload instead of measuring the driving performance or self-reporting questionnaire. In addition, this would be expected to be available on the area of the Advanced Driver Assistance System and drivers' safety industry.
机译：用于衡量驾驶员工作量的各种方法不包括诸如驾驶员的性格和态度之类的信息。为了克服此限制，开发了一种主观驾驶工作量预测工具（DWPT）。这项研究的目的是验证DWPT，它由三个子因素组成： 情境不适应 ， 冒险性人格 和 人际适应性 。因此，我们进行了驾驶模拟器实验，以收集驾驶员的驾驶行为。驾驶路线方案包括各种驾驶任务。 30名男性驾驶员参加了这项研究。分析结果表明，驾驶员对主观驾驶工作量的预测得分与其工作量相关的驾驶行为（如指示器/转向/油门踏板的操作和凝视行为）呈正相关或负相关。特别是，两个子因素，即冒险的人格和人际关系的不适应性，与其总的预测主观驾驶工作量和情境不适应性子因素相比，与他们的驾驶行为密切相关。这些结果表明，DWPT可以用来预测驾驶员的主观驾驶工作量，而不是测量驾驶性能或自我报告调查表。此外，预计该功能将在高级驾驶员辅助系统和驾驶员安全行业领域提供。

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