Integrating Planning and Dialogue in a Lifestyle Agent

Authors:
Cameron Smith;Marc Cavazza;Daniel Charlton;Li Zhang;Markku Turunen;Jaakko Hakulinen
Affiliations:
School of Computing, University of Teesside, Middlesbrough, United Kingdom;School of Computing, University of Teesside, Middlesbrough, United Kingdom;School of Computing, University of Teesside, Middlesbrough, United Kingdom;School of Computing, University of Teesside, Middlesbrough, United Kingdom;Department of Computer Sciences, Speech-based and Pervasive Interaction Group, University of Tampere, Finland;Department of Computer Sciences, Speech-based and Pervasive Interaction Group, University of Tampere, Finland
Venue:
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Year:
2008

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Abstract

In this paper, we describe an Embodied Conversational Agent advising users to promote a healthier lifestyle. This embodied agent provides advice on everyday user activities, in order to promote a healthy lifestyle. It operates by generating user activity models (similar to decompositional task models), using a Hierarchical Task Network (HTN) planner. These activity models are refined through various cycles of planning and dialogue, during which the agent suggests possible activities to the user, and the user expresses her preferences in return. A first prototype has been fully implemented (as a spoken dialogue system) and tested with 20 subjects. Early results show a high level of task completion despite the word error rate, and further potential for improvement.