Using a visual attentional task and eye-tracking to investigate the effects of pre-takeover resource engagement on attention restoration in conditionally automated driving
Pre-takeover tasks with cognitive resource engagement proves to be superior for attention restoration in conditionally automated driving. The drivers with better attentional function are able to reduce recovering time. These findings make it possible to predict drivers' attentional state by identifying type of pre-takeover tasks in conditionally automated vehicles. Based on this, the attentive user interfaces could be adaptively adjusted to provide valuable cues, ensuring a safe transition.
Authors
- Shanguang Chen (ORCID: https://orcid.org/0000-0002-7030-8196)
- Chang Xu (ORCID: https://orcid.org/0000-0002-8721-5041)
- Jinzhen Dou (ORCID: https://orcid.org/0000-0001-6023-8713)
- Chengqi Xue (ORCID: https://orcid.org/0000-0003-0520-5040)
- Wenyu Wu (ORCID: https://orcid.org/0000-0002-7540-4953)
Institutions
- Donghua University (CN)
- Southeast University (BD)
- China Astronaut Research and Training Center (CN)
- Southeast University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1080/15389588.2024.2427865
- Citations
- 2
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 4.88
Funders
- National Natural Science Foundation of China
- China Scholarship Council