Recognizing and responding to human affect is important in collaborative tasks in joint human-robot teams. In this paper we present an integrated architecture for HRI and report results from an experiment with this architecture that shows that expressing affect and responding to human affect with affect expressions improves performance in a joint human-robot task.
@inproceedings{scheutzetal06hri,
title={The Utility of Affect Expression in Natural Language Interactions in Joint Human-Robot Tasks},
author={Matthias Scheutz and Paul Schermerhorn and James Kramer and C. Middendorff},
year={2006},
booktitle={Proceedings of the 1st ACM International Conference on Human-Robot Interaction},
pages={226--233}
url={https://hrilab.tufts.edu/publications/scheutzetal06hri.pdf}
}