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arxiv logo>cs> arXiv:2208.13900
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Computer Science > Human-Computer Interaction

arXiv:2208.13900 (cs)
[Submitted on 29 Aug 2022]

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

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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.
Comments:Proceeding of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22)
Subjects:Human-Computer Interaction (cs.HC)
Cite as:arXiv:2208.13900 [cs.HC]
 (orarXiv:2208.13900v1 [cs.HC] for this version)
 https://doi.org/10.48550/arXiv.2208.13900
arXiv-issued DOI via DataCite
Related DOI:https://doi.org/10.1145/3543174.3546835
DOI(s) linking to related resources

Submission history

From: Erfan Pakdamanian [view email]
[v1] Mon, 29 Aug 2022 21:44:49 UTC (39,281 KB)
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