Robots that cooperate with humans must be effective at communicating with them. However, people have varied preferences for communication based on many contextual factors, such as culture, environment, and past experience. To communicate effectively, robots must take those factors into consideration. In this work, we present the Robot Signal Design (RoSiD) tool to empower people to easily self-specify communicative preferences for collaborative robots. We show through a participatory design study that the RoSiD tool enables users to create signals that align with their communicative preferences, and we illuminate how this tool can be further improved.
@article{arxiv.2401.03088,
title = {The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration},
author = {Nathaniel Dennler and David Delgado and Daniel Zeng and Stefanos Nikolaidis and Maja Matarić},
journal= {arXiv preprint arXiv:2401.03088},
year = {2024}
}