As the automotive world moves toward higher levels of driving automation, Level 3 automated driving represents a critical juncture. In Level 3 driving, vehicles can drive alone under limited conditions, but drivers are expected to be ready to take over when the system requests. Assisting the driver to maintain an appropriate level of Situation Awareness (SA) in such contexts becomes a critical task. This position paper explores the potential of Attentive User Interfaces (AUIs) powered by generative Artificial Intelligence (AI) to address this need. Rather than relying on overt notifications, we argue that AUIs based on novel AI technologies such as large language models or diffusion models can be used to improve SA in an unconscious and subtle way without negative effects on drivers overall workload. Accordingly, we propose 5 strategies how generative AI s can be used to improve the quality of takeovers and, ultimately, road safety.

翻译：随着汽车行业向更高等级驾驶自动化迈进，L3级自动驾驶代表了一个关键转折点。在L3级驾驶中，车辆可在受限条件下自主行驶，但驾驶员需随时准备在系统请求时接管。在此情境下，协助驾驶员保持适当水平的情境感知（Situation Awareness, SA）成为关键任务。本文探讨了由生成式人工智能（Generative AI）驱动的认知用户界面（Attentive User Interfaces, AUIs）解决这一需求的潜力。我们认为，基于大语言模型或扩散模型等新型AI技术的AUIs，无需依赖显式通知，即可通过无意识且微妙的方式提升SA，且不会对驾驶员整体工作负荷产生负面影响。据此，我们提出了五种利用生成式AI提升接管质量并最终改善道路安全的策略。