Building Mental Models through Preview of Autopilot Behaviors
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Abstract (arXiv)
Effective human-vehicle collaboration requires an appropriate un-derstanding of vehicle behavior for safety and trust. Improvingon our prior work by adding a future prediction module, we in-troduce our framework, calledAutoPreview, to enable humans topreview autopilot behaviors prior to direct interaction with thevehicle. Previewing autopilot behavior can help to ensure smoothhuman-vehicle collaboration during the initial exploration stagewith the vehicle. To demonstrate its practicality, we conducted acase study on human-vehicle collaboration and built a prototypeof our framework with the CARLA simulator. Additionally, weconducted a between-subject control experiment (n=10) to studywhether ourAutoPreviewframework can provide a deeper under-standing of autopilot behavior compared to direct interaction. Ourresults suggest that theAutoPreviewframework does, in fact, helpusers understand autopilot behavior and develop appropriate men-tal models
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 6 references that are in the map. First posted on arXiv 12 Apr 2021.
Builds on
4 of 6 references.
References · 4
- 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
- 2018Establishing Appropriate Trust via Critical Statescited by 48
- 2020Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Taskscited by 15
- 2021AutoPreview: A Framework for Autopilot Behavior Understandingcited by 2
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