论文标题
与Cawa有意识地享受：自动驾驶的上下文感知咨询警告
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving
论文作者
论文摘要
在有条件地自动化的驾驶中，在浸入与非驾驶相关的任务（NDRT）中脱钩的驾驶员可能会错过系统发起的接管请求（TOR）或突然的TOR可能会吓了一跳。为了更好地准备驾驶员在紧急情况下更安全的接管，我们提出了新颖的环境感知咨询警告（CAWA），以自动驾驶，以轻轻地告知驾驶员。这将有助于他们在参与NDRT时保持警惕。关键创新是Cawa根据NDRT的背景适应了警告方式。我们进行了一项用户研究，以研究CAWA的有效性。研究结果表明，与所有NDRT的基于语音的警告相比，CAWA对更安全的接管行为，提高驾驶员情境意识，更少的注意力需求和更积极的用户反馈具有统计学上的显着影响。
In conditionally automated driving, drivers decoupled from driving while immersed in non-driving-related tasks (NDRTs) could potentially either miss the system-initiated takeover request (TOR) or a sudden TOR may startle them. To better prepare drivers for a safer takeover in an emergency, we propose novel context-aware advisory warnings (CAWA) for automated driving to gently inform drivers. This will help them stay vigilant while engaging in NDRTs. The key innovation is that CAWA adapts warning modalities according to the context of NDRTs. We conducted a user study to investigate the effectiveness of CAWA. The study results show that CAWA has statistically significant effects on safer takeover behavior, improved driver situational awareness, less attention demand, and more positive user feedback, compared with uniformly distributed speech-based warnings across all NDRTs.
