Department of Industrial and Manufacturing Engineering, Pennsylvania State University-University Park, State College, PA, United States.
Department of Industrial and Manufacturing Engineering, Pennsylvania State University-University Park, State College, PA, United States.
Accid Anal Prev. 2022 Apr;168:106593. doi: 10.1016/j.aap.2022.106593. Epub 2022 Feb 15.
Conditional automation systems allow drivers to turn their attention away from the driving task in certain scenarios but still require drivers to gain situation awareness (SA) upon a takeover request (ToR) and resume manual control when the system is unable to handle the upcoming situation. Unlike time-critical takeover situations in which drivers must respond within a relatively short time frame, the ToRs for non-critical events such as exiting from a freeway can be scheduled way ahead of time. It is unknown how the ToR lead time affects driver SA for resuming manual control and when to send the ToR is most appropriate in non-critical takeover events. The present study conducted a web-based, supervised experiment with 31 participants using conditional automation systems in freeway existing scenarios while playing a mobile game. Each participant experienced 12 trials with different ToR lead times (6, 8, 10, 12, 14, 16, 18, 20, 25, 30, 45, and 60 s) for exiting from freeways in a randomized order. Driver SA was measured by using a freeze probe technique in each trial when the participant pressed the spacebar on the laptop to simulate the takeover action. Results revealed a positive effect of longer ToR lead times on driver SA for resuming control to exit from freeways and the effect leveled off at the lead time of 16-30 s. The participants tended to postpone their takeover actions further when they were given a longer ToR lead time and it did not level off up to 60 s. Nevertheless, not all drivers waited till the last moment to take over AVs even though they did not get sufficient SA. The ToR lead time of 16-30 s was recommended for better SA; and it could be narrowed down to 25-30 s if considering the subjective evaluations on takeover readiness, workload, and trust. The findings provide implications for the future design of conditional automation systems used for freeway driving.
条件自动化系统允许驾驶员在某些情况下将注意力从驾驶任务上转移开,但仍要求驾驶员在接管请求(ToR)时获得情境意识(SA),并在系统无法处理即将到来的情况时恢复手动控制。与驾驶员必须在相对较短的时间内做出反应的时间关键型接管情况不同,非关键事件(如驶离高速公路)的 ToR 可以提前安排。尚不清楚 ToR 前置时间如何影响驾驶员恢复手动控制的 SA,以及在非关键接管事件中何时发送 ToR 最合适。本研究使用基于网络的监督实验,在高速公路现有场景中使用条件自动化系统,同时玩移动游戏,共有 31 名参与者参与。每个参与者经历了 12 次不同 ToR 前置时间(6、8、10、12、14、16、18、20、25、30、45 和 60 秒)的试验,以随机顺序从高速公路驶离。在每个试验中,当参与者按下笔记本电脑上的空格键模拟接管操作时,使用冻结探针技术测量驾驶员的 SA。结果表明,较长的 ToR 前置时间对驾驶员从高速公路驶离时恢复控制的 SA 有积极影响,并且在 16-30 秒的前置时间内效果趋于平稳。参与者在获得较长的 ToR 前置时间时,往往会进一步推迟接管操作,直到 60 秒也没有达到平稳状态。然而,并非所有驾驶员都等到最后一刻才接管自动驾驶汽车,即使他们没有获得足够的 SA。建议为了更好的 SA,ToR 前置时间为 16-30 秒;如果考虑到对接管准备度、工作量和信任的主观评价,该时间可以缩小到 25-30 秒。研究结果为未来用于高速公路驾驶的条件自动化系统的设计提供了启示。