Li Ning, Boyle Linda Ng
7284 University of Washington, Seattle, USA.
Hum Factors. 2020 Dec;62(8):1349-1364. doi: 10.1177/0018720819879585. Epub 2019 Dec 30.
This paper examines drivers' allocation of attention using response time to a tactile detection response task (TDRT) while interacting with an in-vehicle information system (IVIS) over time.
Longer TDRT response time is associated with higher cognitive workload. However, it is not clear what role is assumed by the human and system in response to varying in-vehicle environments over time.
A driving simulator study with 24 participants was conducted with a restaurant selection task of two difficulty levels (easy and hard) presented in three modalities (audio only, visual only, hybrid). A linear mixed-effects model was applied to identify factors that affect TDRT response time. A nonparametric time-series model was also used to explore the visual attention allocation under the hybrid mode over time.
The visual-only mode significantly increased participants' response time compared with the audio-only mode. Females took longer to respond to the TDRT when engaged with an IVIS. The study showed that participants tend to use the visual component more toward the end of the easy tasks, whereas the visual mode was used more at the beginning of the harder tasks.
The visual-only mode of the IVIS increased drivers' cognitive workload when compared with the auditory-only mode. Drivers showed different visual attention allocation during the easy and hard restaurant selection tasks in the hybrid mode.
The findings can help guide the design of automotive user interfaces and help manage cognitive workload.
本文通过随着时间推移与车载信息系统(IVIS)交互时对触觉检测响应任务(TDRT)的响应时间,研究驾驶员的注意力分配情况。
TDRT响应时间越长,认知工作量越高。然而,随着时间推移,在应对不同的车内环境时,人和系统分别扮演何种角色尚不清楚。
对24名参与者进行了一项驾驶模拟器研究,采用两种难度级别(简单和困难)的餐厅选择任务,以三种模式呈现(仅音频、仅视觉、混合)。应用线性混合效应模型来识别影响TDRT响应时间的因素。还使用非参数时间序列模型来探索混合模式下随时间变化的视觉注意力分配情况。
与仅音频模式相比,仅视觉模式显著增加了参与者的响应时间。女性在使用IVIS时对TDRT的响应时间更长。研究表明,参与者在简单任务接近尾声时倾向于更多地使用视觉组件,而在较难任务开始时更多地使用视觉模式。
与仅听觉模式相比,IVIS的仅视觉模式增加了驾驶员的认知工作量。在混合模式下的简单和困难餐厅选择任务中,驾驶员表现出不同的视觉注意力分配情况。
这些发现有助于指导汽车用户界面的设计,并有助于管理认知工作量。