Subjectively estimated vs. objectively measured adaptation to driving simulators – Effects of age, driving experience, and previous simulator adaptation
DOI: 10.1016/j.trf.2019.05.019
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Summary
This study investigates the validity of subjective self-assessments of adaptation to driving simulators compared to objective, performance-based measurements. The research addresses concerns regarding the ecological validity of driving simulators, noting that drivers often require an adaptation period to adjust their skills to the virtual environment. While previous studies have relied on pre-defined training durations or subjective feelings of comfort to determine when adaptation occurs, these methods may not accurately reflect actual performance stabilization. The authors specifically examined whether age, driving experience, and previous exposure to the simulator could explain discrepancies between subjective estimates and objective measures of adaptation. The study involved 203 licensed drivers (mean age 57.37 years) who participated in a training and testing session using a high-fidelity, static driving simulator. Objective adaptation was quantified using an algorithm that analyzed steering wheel compensatory movements and lane position deviations, identifying the point at which driving performance stabilized. Subjective adaptation was measured by the time participants pressed a button indicating they felt comfortable with the simulator. The researchers calculated the discrepancy between these two measures and analyzed its relationship with participant age, years of driving license possession, and whether participants had previously adapted to the simulator in a prior session. Results indicated a significant discrepancy between the two measures: participants subjectively reported adapting significantly earlier than their objective performance data suggested. Specifically, the subjective point of adaptation occurred much sooner than the objective stabilization of driving metrics. However, statistical analyses revealed that neither age, driving experience, nor previous simulator adaptation significantly predicted this discrepancy. Regression models including age and license duration failed to reach significance, indicating that the gap between perceived and actual adaptation was consistent across different demographic and experiential groups. The findings suggest that subjective self-appraisals of simulator adaptation are insufficient for ensuring data validity in driving simulation research. The authors attribute the consistent underestimation of adaptation time to a general self-enhancement bias, where drivers overestimate their skills and comfort levels regardless of age or experience. Consequently, the study concludes that objective, performance-based metrics are necessary to accurately determine adaptation periods. Relying solely on subjective reports or fixed time intervals risks including data from drivers who have not yet fully adapted to the simulator, potentially compromising the validity of experimental results in traffic psychology and vehicle safety research.
Key finding
Drivers significantly underestimate the time required to adapt to a driving simulator, and this discrepancy is not explained by age, driving experience, or previous simulator adaptation.
Methodology
simulator
Sample size: 203
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 author_sweep_intake on 2026-05-27.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-27 |
| archive | success | openalex | — | — | 9 | 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 | semantic_scholar | — | — | 2 | 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 | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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Information type
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- Empirical Findings: self report data
- Methodological Resource: validation psychometrics, tool software