Performance in Takeover and Characteristics of Non-driving Related Tasks during Highly Automated Driving in Younger and Older Drivers

摘要

This paper aims to examine the effect of age and various characteristics of non-driving related activitiesduring highly automated driving on subsequent performance in notified takeovers among younger andolder drivers. The paper presents new analyses of data collected in our earlier study (Clark & Feng,2016). Non-driving-related activities that participants voluntarily chose to engage in during automateddriving were categorized according to their cognitive dimensions in information processing. Using hierarchicalmultiple regressions, we analyzed the effect of driver age, total duration and number of engagementin non-driving-related activities, the duration and cognitive dimensions of the last activityprior to takeover on average speed during takeover and the response time to a takeover notification. Wefound that older drivers speed was negatively predicted by age while their response time to a notificationwas not predicted by any factor. In contrast, younger drivers showed a trend of positive relationshipbetween age and average speed and the characteristics of the last task engagement explained a significantportion of the variance of response time to a notification.