Several tools have been developed over the past twenty years to assess the degree of driver distraction caused by secondary task engagement. A relatively new and promising method in this area is the box task combined with a detection response task (BT + DRT). However, no evaluation regarding the BT's sensitivity currently exists. Thus, the aim of the present study was to evaluate the BT + DRT by comparing its sensitivity to the sensitivity of already established methods. Twenty-nine participants engaged in several artificial and realistic secondary tasks while either performing the BT + DRT, the Lane Change Test (LCT), or driving through a simple course in a simulator. The results showed that the BT parameters (especially the standard deviation of box position and size) were sensitive to differences in demand across the visual-manual secondary tasks. This was comparable to what was found with the LCT. Surprisingly, the BT performance measures were more sensitive than those of the driving simulation task. The BT + DRT also captured cognitive distraction effects with the integration of the DRT. Hence, the BT + DRT could be a cost-effective method to assess in-vehicle system demand. However, further investigations are necessary to better understand the potential of the BT method.

在过去的二十年中，已经开发出了几种工具来评估由次要任务参与引起的驾驶员分心程度。在该领域中一种相对较新且有希望的方法是将盒子任务与检测响应任务（BT + DRT）相结合。但是，目前尚无关于BT敏感性的评估。因此，本研究的目的是通过比较BT + DRT与已经建立的方法的敏感性来评估BT + DRT。29名参与者在执行BT + DRT，换道测试（LCT）或通过模拟器中的简单课程进行驾驶时，承担了一些人为和现实的次要任务。结果表明，BT参数（特别是盒子位置和大小的标准偏差）对视觉手动次要任务中的需求差异敏感。这与LCT的发现相当。出乎意料的是，BT性能衡量指标比驾驶模拟任务的敏感度更高。BT + DRT通过DRT的集成也获得了认知分散注意力的效果。因此，BT + DRT可能是一种评估车载系统需求的经济有效的方法。但是，有必要进一步研究以更好地了解BT方法的潜力。BT + DRT通过DRT的集成也获得了认知分散注意力的效果。因此，BT + DRT可能是一种评估车载系统需求的经济有效的方法。但是，有必要进一步研究以更好地了解BT方法的潜力。BT + DRT通过DRT的集成也获得了认知分散注意力的效果。因此，BT + DRT可能是一种评估车载系统需求的经济有效的方法。但是，有必要进一步研究以更好地了解BT方法的潜力。