Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios

Advanced automated driving systems allow drivers to engage temporarily in non-driving-related tasks (NDRTs), such as sending messages or playing games. However, drivers still play a critical role in manually taking over the vehicle when the systems fail, necessitating prompt situation awareness development (SA). To accelerate SA development under strict time constraints, this study incorporated the concept of monitoring requests (MRs) into an advanced takeover request (TOR) design, offering three distinct SA-focused phases: Level 1 redirects attention to potential dangers; Level 2 facilitates the interpretation of cues, such as changes in relative velocity and remaining distance; and Level 3 projects future events, such as the time to collision (TTC). Moreover, two common takeover scenarios were considered to obtain insightful guidelines for creating tailored TOR designs. This study used a driving simulator and the Wizard of Oz method to simulate autonomous driving, collecting data on takeover reactions, vehicle movements, and subjective questionnaires from 32 participants. The statistical analyses indicated that TOR design highlights advanced levels of SA, particularly Level 3 SA, for future projection, which benefits overall SA quality and increases minimum TTC, enhancing safety margins during urgent takeovers. Furthermore, these improvements in the takeover were accompanied by increased changes in posttakeover vehicle control. These patterns suggest more active post-takeover control rather than a hasty response. Lastly, an advanced TOR can be tailored to specific takeover scenarios, with dynamic scenarios benefiting from Level 3 TOR design and static scenarios benefiting from Level 2 TOR design. • Takeover requests (TORs) that promote higher levels of situational awareness (SA) enhance safety margins and SA quality. • Pronounced post-takeover control under advanced TOR may indicate a more decisive rather than a hasty response. • Aiding Level 3 situation awareness is preferred in dynamic takeover scenarios. • Aiding Level 2 situation awareness is preferred in static takeover scenarios.

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Publication Details

Journal
International Journal of Industrial Ergonomics
Published
2026-02-02
DOI
https://doi.org/10.1016/j.ergon.2026.103891
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios

Hsueh-Yi Lai, Yong-Jhih Chen, Jyun-Hao Peng
International Journal of Industrial Ergonomics
Human-Automation Interaction and Safety
article

Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios

Hsueh-Yi Lai, Yong-Jhih Chen, Jyun-Hao Peng
article en

Abstract

Advanced automated driving systems allow drivers to engage temporarily in non-driving-related tasks (NDRTs), such as sending messages or playing games. However, drivers still play a critical role in manually taking over the vehicle when the systems fail, necessitating prompt situation awareness development (SA). To accelerate SA development under strict time constraints, this study incorporated the concept of monitoring requests (MRs) into an advanced takeover request (TOR) design, offering three distinct SA-focused phases: Level 1 redirects attention to potential dangers; Level 2 facilitates the interpretation of cues, such as changes in relative velocity and remaining distance; and Level 3 projects future events, such as the time to collision (TTC). Moreover, two common takeover scenarios were considered to obtain insightful guidelines for creating tailored TOR designs. This study used a driving simulator and the Wizard of Oz method to simulate autonomous driving, collecting data on takeover reactions, vehicle movements, and subjective questionnaires from 32 participants. The statistical analyses indicated that TOR design highlights advanced levels of SA, particularly Level 3 SA, for future projection, which benefits overall SA quality and increases minimum TTC, enhancing safety margins during urgent takeovers. Furthermore, these improvements in the takeover were accompanied by increased changes in posttakeover vehicle control. These patterns suggest more active post-takeover control rather than a hasty response. Lastly, an advanced TOR can be tailored to specific takeover scenarios, with dynamic scenarios benefiting from Level 3 TOR design and static scenarios benefiting from Level 2 TOR design. • Takeover requests (TORs) that promote higher levels of situational awareness (SA) enhance safety margins and SA quality. • Pronounced post-takeover control under advanced TOR may indicate a more decisive rather than a hasty response. • Aiding Level 3 situation awareness is preferred in dynamic takeover scenarios. • Aiding Level 2 situation awareness is preferred in static takeover scenarios.

International Journal of Industrial ErgonomicsVol. 112
National Yang Ming Chiao Tung University (TW)
Peace, Justice and strong institutions
Openalex Percentile: Top 74%
Human-Automation Interaction and Safety
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