Towards standardized metrics for measuring takeover performance in conditionally automated driving: A systematic review
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Summary
This systematic review addresses the lack of standardized metrics for measuring takeover performance in SAE Level 3 conditionally automated driving. The transition from automated to manual control is a critical safety concern, as drivers may become decoupled from the driving task and struggle to regain control promptly. The authors note that prior research has employed a wide variety of metrics, making it difficult to consolidate findings, compare designs, or summarize the influence of different factors on takeover performance. The study aims to propose a framework for standardizing objective takeover performance metrics by reviewing empirical literature. The authors conducted a systematic search following the PRISMA guidelines across seven databases, including ACM, IEEE Xplore, Scopus, and PsycINFO, using keywords related to automated vehicles and takeover transitions. The search covered publications from January 2009 to January 2020. After removing duplicates and screening for eligibility, 71 papers were included in the final review. Eligibility criteria required that studies report human-subject experiments involving Level 3 automation, with at least one metric for takeover time and one for takeover quality. The review proposes a framework categorizing metrics into time and quality aspects. Time metrics are structured around a three-stage takeover process: orientation, initialization, and action execution. Orientation stage metrics, such as gaze reaction time and road fixation time, measure cognitive and motor readiness. Initialization stage metrics, including notification response time and takeover time, assess the timeliness of conscious intervention. Action execution stage metrics measure the duration of maneuver completion. Quality metrics are categorized into five aspects: time/distance margin (e.g., Time to Collision), speed (velocity and acceleration), offset in lane (e.g., standard deviation of lane position), steering behavior (e.g., steering reversal rate and entropy), and brake behavior. The analysis reveals significant inconsistencies in metric definitions, calculation methods, and naming conventions across the reviewed studies. For instance, the endpoint for calculating takeover time varies widely, with thresholds for steering angle or brake pedal actuation differing between studies. The authors conclude that the current lack of standardization hinders direct comparison among studies and the consolidation of findings. They advocate for consistent naming conventions and rigorous definitions of metric parameters, such as start and end points for time calculations. The proposed framework serves as a foundation for future research to develop standardized documentation for measuring takeover performance, which is essential for evaluating the safety and efficacy of conditionally automated driving systems.
Key finding
The review identifies widespread inconsistencies in the naming conventions and calculation methods of takeover performance metrics across 71 studies, necessitating a standardized framework to enable valid comparisons and consolidation of findings.
Methodology
review
Sample size: 71
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via unpaywall on 2026-05-06 (4 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | — | — | — | 1 | 2026-05-06 |
| archive | success | canonical_url | — | — | 16 | 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 | success | openalex | — | — | 2 | 2026-05-08 |
| promote | success | — | — | — | 1 | 2026-05-06 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: behavioral performance data
- Methodological Resource: measurement protocol
- Theoretical Contribution: conceptual framework