Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving

Erfan Pakdamanian; Erzhen Hu; Shili Sheng; Sarit Kraus; Seongkook Heo; Lu Feng

doi:10.1145/3543174.3546835

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving

Erfan Pakdamanian, Erzhen Hu, Shili Sheng, Sarit Kraus, Seongkook Heo, Lu Feng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
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
Pages	75-85
Number of pages	11
ISBN (Electronic)	9781450394154
DOIs	https://doi.org/10.1145/3543174.3546835
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

Publication series

Name	Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

Conference

Conference	14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	17/09/22 → 20/09/22

Bibliographical note

Funding 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.

Publisher Copyright:
© 2022 Owner/Author.

Keywords

advisory warning
auditory warning
automated driving
context-aware warning
haptic warning
multimodal adaptive warning
takeover behavior
visual warning

Access to Document

10.1145/3543174.3546835

Cite this

Pakdamanian, E., Hu, E., Sheng, S., Kraus, S., Heo, S., & Feng, L. (2022). Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. In Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022 (pp. 75-85). (Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3543174.3546835

Pakdamanian, Erfan ; Hu, Erzhen ; Sheng, Shili et al. / Enjoy the Ride Consciously with CAWA : Context-Aware Advisory Warnings for Automated Driving. Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc, 2022. pp. 75-85 (Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022).

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Pakdamanian, E, Hu, E, Sheng, S, Kraus, S, Heo, S & Feng, L 2022, Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. in Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Association for Computing Machinery, Inc, pp. 75-85, 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, Seoul, Korea, Republic of, 17/09/22. https://doi.org/10.1145/3543174.3546835

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. / Pakdamanian, Erfan; Hu, Erzhen; Sheng, Shili et al.
Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc, 2022. p. 75-85 (Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Pakdamanian E, Hu E, Sheng S, Kraus S, Heo S, Feng L. Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. In Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. Association for Computing Machinery, Inc. 2022. p. 75-85. (Main Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022). doi: 10.1145/3543174.3546835

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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