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arxiv 2104.05470 v1 pith:PQOJHJUJ submitted 2021-04-12 cs.HC cs.AI

Building Mental Models through Preview of Autopilot Behaviors

classification cs.HC cs.AI
keywords autopilotbehaviorcollaborationappropriatebehaviorsdirectframeworkhuman-vehicle
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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

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