Capable and considerate: Exploring the assigned attributes of an automated vehicle
DOI: 10.1016/j.trip.2021.100383
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Summary
This study investigates how users perceive and interpret automated vehicles (AVs) based on their driving style properties, aiming to understand how these perceptions influence user acceptance. The authors argue that while technical capabilities are crucial, user adoption is heavily dependent on the understanding users develop through tangible attributes, specifically the vehicle's driving behavior. The research seeks to identify which driving style properties users notice and how these tangible cues lead to the assignment of intangible attributes, such as trust or perceived safety. The researchers conducted an experimental study using a Wizard of Oz approach, where a human driver simulated an SAE Level 5 automated vehicle on a closed test track. Eighteen participants with valid driver’s licenses experienced two distinct driving styles: "Aggressive" and "Defensive." Both styles were designed to be safe and skilled but differed in acceleration power, deceleration, headway maintenance, and lateral placement. Participants completed three laps per style, encountering seven predefined traffic situations, such as overtaking and stopping for pedestrians. Data was collected through think-aloud protocols during the drives and post-drive interviews. The researchers analyzed the transcripts using a deductive approach to categorize mentioned driving properties and an inductive affinity diagramming method to identify assigned intangible attributes. The findings reveal that participants noticed most driving style properties, with acceleration, frequency of velocity shifts, lateral placement, and distance to objects being the most prominent. These tangible observations directly influenced the assignment of four groups of intangible attributes: functionality, ability, awareness, and character. The study identified two overarching themes in user perception: the vehicle’s capability and its consideration toward occupants and other road users. The "Defensive" driving style, characterized by smooth acceleration and longer distances to objects, elicited more positive evaluations and was associated with higher perceived awareness and competence. Conversely, the "Aggressive" style, marked by powerful acceleration and closer following distances, often resulted in negative associations regarding the vehicle's character and awareness. Users formed holistic judgments where specific driving behaviors triggered chains of interpretation, linking concrete actions to abstract qualities like foresight or jerkiness. The significance of this research lies in its demonstration that users assign complex, higher-order attributes to AVs based on subtle driving style cues. Because these perceptions of capability and consideration are formed early in the user experience, the authors conclude that AV control algorithms must be designed to convey these attributes intentionally. Understanding the link between tangible driving properties and intangible user interpretations is essential for developing automated systems that users will accept and adopt, highlighting the need to consider human factors in the early stages of vehicle development.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | DOAJ | — | — | 1 | 2026-06-17 |
| archive | success | openalex | — | — | 4 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.
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