A knowledge elicitation study for collaborative dialogue strategies used to handle uncertainties in speech communication while using GIS

Authors:
Hongmei Wang;Ava Gailliot;Douglas Hyden;Ryan Lietzenmayer
Affiliations:
Department of Computer Science, Northern Kentucky University, Highland Heights, KY;Department of Computer Science, Northern Kentucky University, Highland Heights, KY;Department of Computer Science, Northern Kentucky University, Highland Heights, KY;Department of Computer Science, Northern Kentucky University, Highland Heights, KY
Venue:
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
Year:
2013

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Abstract

Existing speech enabled Geographical Information Systems (GIS) needs to have capabilities to handle uncertainties that are inherent in natural language communication. The system must have an appropriate knowledge base to hold such capabilities so that it can effectively handle various uncertainty problems in speech communication. The goal of this study is to collect knowledge about how humans use collaborative dialogues to solve various uncertainty problems while using GIS. This paper describes a knowledge elicitation study that we designed and conducted toward this goal. The knowledge collected can be used to develop the knowledge base of a speech enabled GIS or other speech based information systems.