Handling Uncertain Input in Multi-user Human-robot Interaction

Keizer, S., Foster, M. E. , Gaschler, A., Giuliani, M., Isard, A. and Lemon, O. (2014) Handling Uncertain Input in Multi-user Human-robot Interaction. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication (2014 RO-MAN), Edinburgh, UK, 25-29 Aug 2014, pp. 312-317. ISBN 9781479967650 (doi: 10.1109/ROMAN.2014.6926271)

Abstract

In this paper we present results from a user evaluation of a robot bartender system which handles state uncertainty derived from speech input by using belief tracking and generating appropriate clarification questions. We present a combination of state estimation and action selection components in which state uncertainty is tracked and exploited, and compare it to a baseline version that uses standard speech recognition confidence score thresholds instead of belief tracking. The results suggest that users are served fewer incorrect drinks when the uncertainty is retained in the state.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Foster, Dr Mary Ellen
• Authors: Keizer, S., Foster, M. E., Gaschler, A., Giuliani, M., Isard, A., and Lemon, O.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 1944-9445
• ISBN: 9781479967650
• Published Online: 20 October 2014
• Copyright Holders: Copyright © 2014 IEEE
• First Published: First published in The 23rd IEEE International Symposium on Robot and Human Interactive Communication (2014 RO-MAN): 312-317
• Publisher Policy: Reproduced in accordance with the publisher copyright policy