Semi-autonomous cars are already on the road and highly autonomous cars will soon be with us. Little is understood about how drivers will adapt to the changing relationship with their vehicle, but to ensure safety and consumer acceptance, this insight is vital. To this end, an on-road study in a semi-autonomous vehicle was undertaken with six UK drivers. The 'think aloud' technique was employed and video and audio footage of their interaction with the vehicle was captured. Neisser's (1976) Perceptual Cycle Model (PCM) was used to analyse the data and three case studies are presented to highlight how poor synergy between driver and semi-autonomous vehicles can occur from the lens of Schema, Action or World information. Seven key design considerations are proposed to ensure a more positive and safer interaction between driver and autonomous vehicle to guide focus by manufacturers. Further evidence for the existence of a 'counter cycle' (Plant and Stanton, 2015) within the PCM is found and how this relates to the challenges of using verbal protocals expressed during a fast moving dynamic task is discussed.

中文翻译：

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打破无奈的周期：将Neisser的感知周期模型应用于半自动车辆的驾驶员。

半自动驾驶汽车已经在路上，高度自动驾驶汽车将很快与我们同在。对于驾驶员如何适应与汽车之间不断变化的关系知之甚少，但是对于确保安全性和消费者的接受度，这一见解至关重要。为此，对六名英国驾驶员进行了半自动驾驶汽车的公路研究。采用“大声思考”技术，并捕获了它们与车辆交互的视频和音频片段。Neisser（1976）的感知周期模型（PCM）用于分析数据，并进行了三个案例研究，以突出从图式，动作或世界信息的角度来看，驾驶员和半自动车辆之间的不良协同作用是如何发生的。提出了七个关键设计考虑因素，以确保驾驶员和自动驾驶汽车之间更积极，更安全的互动，从而引导制造商集中精力。发现了PCM中存在“反周期”的更多证据（Plant和Stanton，2015），并讨论了这与在快速移动的动态任务中使用口头协议所面临的挑战之间的关系。