The Effects of of Working Memory Capacity on Situation Awareness During Takeover in Human-Machine Co-Driving Systems
- DOI
- 10.2991/978-94-6463-845-5_82How to use a DOI?
- Keywords
- Working Memory Capacity; Situation Awareness; Autonomous Driving; Human-Machine Co-Driving
- Abstract
This study investigates the influence of working memory capacity on drivers’ situation awareness during takeover in a human-machine co-driving environment. Using Prescan, a simulated autonomous highway driving scenario was created, where 26 participants engaged in 25 min of autonomous driving and performed takeover in response to sudden incidents. WMC was assessed via the Automated Operation Span Task, while SA was evaluated using the Situation Awareness Global Assessment Technique (SAGAT) combined with eye-tracking technology. Results indicated that participants with high WMC outperformed those with low WMC in SA scores, fixation count, fixation duration percentage, and scanpath length, demonstrating superior visual scanning and environmental perception abilities. These findings provide theoretical support for optimizing takeover mechanisms in autonomous driving systems.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Song He AU - Naiwen Li PY - 2025 DA - 2025/09/16 TI - The Effects of of Working Memory Capacity on Situation Awareness During Takeover in Human-Machine Co-Driving Systems BT - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025) PB - Atlantis Press SP - 826 EP - 833 SN - 2667-1271 UR - https://doi.org/10.2991/978-94-6463-845-5_82 DO - 10.2991/978-94-6463-845-5_82 ID - He2025 ER -