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Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility?
Huang, Wei-Chi; Fan, Lin-Han; Han, Zi-Jian; Niu, Ya-Feng.
Afiliación
  • Huang WC; Department of Industrial Design, School of Mechanical Engineering, Southeast University, Nanjing, China.
  • Fan LH; Department of Industrial Design, School of Mechanical Engineering, Southeast University, Nanjing, China.
  • Han ZJ; Department of Industrial Design, School of Mechanical Engineering, Southeast University, Nanjing, China.
  • Niu YF; Department of Industrial Design, School of Mechanical Engineering, Southeast University, Nanjing, China. Electronic address: nyf@seu.edu.cn.
Accid Anal Prev ; 205: 107687, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38943983
ABSTRACT
Autonomous driving technology has the potential to significantly reduce the number of traffic accidents. However, before achieving full automation, drivers still need to take control of the vehicle in complex and diverse scenarios that the autonomous driving system cannot handle. Therefore, appropriate takeover request (TOR) designs are necessary to enhance takeover performance and driving safety. This study focuses on takeover tasks in hazard scenarios with varied hazard visibility, which can be categorized as overt hazards and covert hazards. Through ergonomic experiments, the impact of TOR interface visual information, including takeover warning, hazard direction, and time to collision, on takeover performance is investigated, and specific analyses are conducted using eye-tracking data. The following conclusions are drawn from the experiments (1) The visibility of hazards significantly affects takeover performance. (2) Providing more TOR visual information in hazards with different visibility has varying effects on drivers' visual attention allocation but can improve takeover performance. (3) More TOR visual information helps reduce takeover workload and increase human-machine trust. Based on these findings, this paper proposes the following TOR visual interface design strategies (1) In overt hazard scenarios, only takeover warning is necessary, as additional visual information may distract drivers' attention. (2) In covert hazard scenarios, the TOR visual interface should better assist drivers in understanding the current hazard situation by providing information on hazard direction and time to collision to enhance takeover performance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención / Automatización / Conducción de Automóvil / Accidentes de Tránsito Límite: Adult / Female / Humans / Male Idioma: En Revista: Accid Anal Prev Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención / Automatización / Conducción de Automóvil / Accidentes de Tránsito Límite: Adult / Female / Humans / Male Idioma: En Revista: Accid Anal Prev Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido