@inproceedings{4c4ba8510b7c43e6b17a08bfbc141b2d,
title = "Conflict Simulation for Shared Autonomy in Autonomous Driving",
abstract = "We present a tool for modeling conflict situations that enables simulation and testing of situation awareness in shared autonomy, in this case in an autonomous driving scenario. The flexibility of the tool allows definition of new conflict situations, integration with various control and conflict detection systems, as well as customization of Takeover Request (TOR) signals and different means of communication to the human operator. We start with one particular conflict situation - loss of lane markings, for which we demonstrate a simple conflict detection system. We conduct a preliminary user evaluation, which provides useful insights about the usability of the tool. The feedback from the participants indicates that TORs without indication feel uncomfortable and providing explicit information about the conflict situation is necessary when switching to manual control is required.",
keywords = "autonomous driving, conflict detection, driving simulation, explainability, Human-AI interaction, shared autonomy",
author = "Stefan Reitmann and Topp, {Elin Anna} and Tsvetomila Mihaylova and Ville Kyrki",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s); ACM/IEEE International Conference on Human-Robot Interaction, HRI ; Conference date: 11-03-2024 Through 15-03-2024",
year = "2024",
month = mar,
day = "11",
doi = "10.1145/3610978.3640589",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE",
pages = "882--887",
booktitle = "HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}