User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction
DOI: 10.3390/info10040143
archive: archived pipeline: cataloged verified
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Summary
This study addresses the critical gap in user education for automated driving systems (ADS), specifically focusing on how different instructional methods influence mental model formation and human-automation interaction. As Level 3 (L3) automation shifts responsibility from monitoring to fallback performance, users face complex operational design domains and interface interactions. While Human-Machine Interface (HMI) design is well-researched, standardized user education remains largely unstructured. The authors investigate two conceptual approaches—an owner’s manual (passive, unguided learning) and an interactive tutorial (active, guided learning)—to determine if they improve system understanding and interaction performance compared to a baseline of generic information. The research employed a between-subjects design with 24 participants in a fix-base driving simulator featuring a BMW 5 Series mockup. Participants were randomly assigned to one of three conditions: baseline information, owner’s manual, or interactive tutorial. The L2 and L3 ADS functionalities included longitudinal and lateral control, with L3 allowing independent lane changes up to 130 km/h. After completing their assigned 10-minute educational procedure, participants filled out a mental model questionnaire and underwent a brief manual familiarization drive. They then completed two blocks of six control transition interactions each, guided by recorded instructions. Performance metrics included interaction accuracy and speed, while mental models were assessed via self-report data. Results indicated that both the owner’s manual and the interactive tutorial significantly improved participants' understanding of driving automation systems compared to the baseline. Furthermore, both educational approaches led to enhanced interaction performance, characterized by better accuracy and efficiency in operating the ADS HMI. The study confirms that structured user education supports the formation of accurate declarative knowledge (mental models), which translates to superior operational behavior. Although the study did not hypothesize significant differences between the two treatment groups due to their combined conceptual characteristics, the findings validate that prior education—whether passive or active—mitigates the interference between driving tasks and HMI operation. The significance of this work lies in its contribution to method development for ADS evaluation. It demonstrates that user education is a necessary component for safe and efficient human-automation interaction, particularly for novice users encountering complex L3 systems. By proving that structured education improves mental models and interaction performance, the study provides a foundation for future research into specific learning mechanisms and optimal educational designs. It highlights the need for standardized training protocols in the automotive industry, drawing parallels to aviation where trained operators are required for automated systems, thereby supporting safer market introduction of automated driving technologies.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | — | — | — | 1 | 2026-06-01 |
| archive | success | canonical_url | — | — | 24 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 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 | — | — | — | 1 | 2026-06-01 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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