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.
|Title of host publication||Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||11|
|State||Published - 17 Sep 2022|
|Event||14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 - Seoul, Korea, Republic of|
Duration: 17 Sep 2022 → 20 Sep 2022
|Name||Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022|
|Conference||14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022|
|Country/Territory||Korea, Republic of|
|Period||17/09/22 → 20/09/22|
Bibliographical noteFunding Information:
This work was supported in part by National Science Foundation (NSF) grants CCF-1942836 and CNS-1755784. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the grant sponsors.
© 2022 Owner/Author.
- advisory warning
- auditory warning
- automated driving
- context-aware warning
- haptic warning
- multimodal adaptive warning
- takeover behavior
- visual warning