Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why in order to increase transparency and maintain trust. Here, we describe a natural language chat interface that enables vehicle behaviour to be queried by the user. We obtain an interpretable model of autonomy through having an expert 'speak out-loud' and provide explanations during a mission. This approach is agnostic to the type of autonomy model and as expert and operator are from the same user-group, we predict that these explanations will align well with the operator's mental model, increase transparency and assist with operator training.
@article{arxiv.1803.02088,
title = {Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots},
author = {Francisco J. Chiyah Garcia and David A. Robb and Xingkun Liu and Atanas Laskov and Pedro Patron and Helen Hastie},
journal= {arXiv preprint arXiv:1803.02088},
year = {2018}
}
Comments
2 pages. Peer reviewed position paper accepted in the Explainable Robotic Systems Workshop, ACM Human-Robot Interaction conference, March 2018, Chicago, IL USA