# Building Mental Models through Preview of Autopilot Behaviors

arXiv: https://arxiv.org/abs/2104.05470 · HTML: https://mlsanity.com/paper/2104.05470/

## 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 (most cited first, 4 of 4)

- [CARLA: An Open Urban Driving Simulator](https://mlsanity.com/paper/1711.03938/) (2017)
- [Establishing Appropriate Trust via Critical States](https://mlsanity.com/paper/1810.08174/) (2018)
- [Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks](https://mlsanity.com/paper/2007.12803/) (2020)
- [AutoPreview: A Framework for Autopilot Behavior Understanding](https://mlsanity.com/paper/2102.13034/) (2021)

## 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