A Taxonomy of Strategies For Supporting Time-Sharing With Non-Driving Tasks in Automated Driving
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Summary
This paper addresses the challenge of managing driver distraction in automated vehicles (SAE Levels 2–4), where drivers act as supervisors rather than primary controllers. While automation delegates vehicle control, drivers often engage in non-driving tasks (NDTs) using their spare cognitive capacity. This behavior risks "out-of-the-loop" phenomena, including loss of situation awareness and delayed takeover responses. The authors argue that traditional distraction mitigation strategies, which focus on preventing NDTs, are inadequate for automated driving. Instead, they propose a revised taxonomy of strategies designed to dynamically coordinate time-sharing between driving supervision and NDTs, ensuring safety while allowing productivity. The study is a theoretical review and taxonomy development based on prior work by Donmez, Boyle, and Lee (2003, 2008). The authors expand the original framework by incorporating the specific context of automated driving, where the definition of "activities critical for safe driving" shifts from manual control to monitoring and takeover readiness. The taxonomy categorizes strategies along three dimensions: the degree of intervention (high, moderate, low), the source of initiation (automation-initiated or driver-initiated), and the target task (driving-related or non-driving-related). Additionally, the taxonomy incorporates timing, distinguishing between pre-drive/drive strategies, post-drive (retrospective) strategies, and cumulative strategies. The paper details specific strategies within this framework. Automation-initiated, driving-related strategies include intervening (e.g., stopping the vehicle if the driver is inattentive), warning (e.g., takeover requests), and informing (providing continual status updates). Driver-initiated, driving-related strategies involve delegating control to automation or tailoring warning sensitivity. Non-driving-related strategies include automation-initiated locking/interrupting of NDTs during high-demand driving, prioritizing/filtering of NDT notifications, and advising on engagement levels. Driver-initiated NDT strategies involve presetting controls, place-keeping (bookmarking NDTs for resumption), and demand minimizing (switching interaction modalities, such as from visual to auditory). Post-drive strategies provide retrospective feedback on risk and engagement, while cumulative strategies focus on education and social norms to calibrate trust and reliance. The significance of this work lies in providing a structured framework for researchers and designers to develop interfaces that support safe time-sharing in automated vehicles. The authors conclude that current research lacks standardized metrics for defining "safe distraction" in automated contexts, noting that thresholds established for manual driving (e.g., glance duration) may not apply. They highlight challenges in driver state detection, as traditional performance-based metrics are less effective when drivers are not manually controlling the vehicle. The paper calls for future research to establish risk thresholds for NDT engagement, improve non-invasive driver monitoring technologies, and explore the effectiveness of combining multiple strategies to support different phases of automated driving.
Key finding
The paper presents a comprehensive taxonomy of strategies for supporting time-sharing in automated driving, categorized by intervention level, initiation source, task focus, and timing, to guide future research and system design.
Methodology
review
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | — | — | — | 1 | 2026-05-28 |
| archive | success | canonical_url | — | — | 7 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | skipped | — | — | — | 3 | 2026-06-04 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
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