Monsaingeon Noé, Caroux Loïc, Langlois Sabine, Lemercier Céline
Cognition, Language, Languages and Ergonomics Laboratory (CLLE), University of Toulouse and CNRS, Toulouse, France.
Renault Technocentre, Guyancourt, France.
Front Psychol. 2023 Feb 28;14:1107847. doi: 10.3389/fpsyg.2023.1107847. eCollection 2023.
The goal of this study is to evaluate the effect of a multimodal interface indicating the limits of automation in order to stimulate an appropriate level of attention and to induce accurate mode awareness and trust in partial driving automation. Participants drove in a driving simulator with partial driving automation and were confronted with surprising situations of suspension of driving automation systems in different contexts. They drove the simulator during three driving sessions, with either a multimodal interface indicating the limits of automation or a visual basic interface. Their driving performance, ocular behavior, and subjective evaluation of trust and workload were evaluated. The results revealed that the multimodal interface stimulates an appropriate level of attention and increases mode awareness and trust in automation, but these effects are context-dependent. The indications of the limits of automation improved the knowledge regarding automation, but this knowledge did not necessarily lead to improved driving performance. Design solutions are discussed to support the improvement of driving performance for take-overs in vehicles equipped with partial driving automation.
本研究的目的是评估一种多模态界面的效果，该界面指示自动化的限度，以激发适当程度的注意力，并在部分驾驶自动化中诱导准确的模式意识和信任。参与者在配备部分驾驶自动化的驾驶模拟器中驾驶，并在不同情境下遭遇驾驶自动化系统意外中止的情况。他们在三次驾驶过程中驾驶模拟器，使用的界面要么是指示自动化限度的多模态界面，要么是视觉基本界面。对他们的驾驶表现、眼部行为以及对信任和工作量的主观评价进行了评估。结果显示，多模态界面能激发适当程度的注意力，并提高对自动化的模式意识和信任，但这些效果取决于具体情境。自动化限度的指示提高了对自动化的了解，但这种了解不一定能带来驾驶表现的提升。文中讨论了设计解决方案，以支持在配备部分驾驶自动化的车辆中改善接管时的驾驶表现。
