监督自动驾驶汽车:自动驾驶过程中的情况感知和疲劳

Angus McKerral, Nathan Boyce, K. Pammer
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引用次数: 3

摘要

人类驾驶员从自动驾驶汽车中恢复控制的能力仍然是人为因素研究的中心焦点。生理测量有望让车辆系统确定驾驶员何时处于控制转换的准备状态,特别是对于3级及以上的自动驾驶系统。我们采用了一种适应的态势感知(SA)测量方法来评估长时间模拟3级自动驾驶后驾驶员SA的质量。假设受试者内部设计将证明被动疲劳的增加可以预测接管请求后SA的减少。参与者还被随机分配到两种不同的条件之一,在两种不同的条件下,监督司机要么被允许,要么被禁止在自动驾驶过程中使用非驾驶相关任务(NDRT),以研究通过故意参与NDRT来有针对性地增强SA的潜在途径。初步结果为我们的假设提供了初步的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supervising the self-driving car: situation awareness and fatigue during automated driving
The capacity for human drivers to resume control from an automated vehicle remains a central focus of human factors research. Physiological measures promise to allow the vehicle system to determine when a driver is in a ready-state for transition of control, particularly for level 3 automation and above. We employ an adapted measure of Situation Awareness (SA) to assess the quality of driver SA following an extended period of simulated level 3 automated driving. It is hypothesised that a within-subjects design will demonstrate increasing passive fatigue to be predictive of reduced SA following a takeover request. Participants were also randomly allocated to one of two separate conditions in which supervising drivers were either permitted to, or prohibited from the use of non-driving related tasks (NDRT) during automated driving, to investigate a potential avenue for targeted SA enhancement through deliberate NDRT engagement. Preliminary results provide tentative support for our hypotheses.
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