A knowledge elicitation study for a speech enabled GIS to handle vagueness in communication

Authors:
Hongmei Wang
Affiliations:
Northern Kentucky University, Department of Computer Science, Highland Heights, KY
Venue:
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Year:
2011

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Abstract

One of challenges toward development of usable speech enabled Geographical Information Systems (GIS) is how to handle vagueness that naturally exist in human-GIS communication. The meaning of some spatial concepts are not only fuzzy, but also context dependent. To enable the GIS to handle the vagueness problem, in particular, the context-dependency subproblem, we propose to design a collaborative speech enabled GIS, which can emulate a human GIS operator's role and handle the vagueness problem in communication through collaborative dialogues. To emulate a human GIS operator's role, the GIS must have knowledge corresponding to a human GIS operator's knowledge involved in handling the vagueness problem. This paper describes a knowledge elicitation study that we conducted to elicit human GIS operators' knowledge about how to handle the vagueness problem through collaborative dialogues. A speech enabled GIS, Dave_G, incorporates part of the study results. This system is able to handle the vagueness problem through various collaborative dialogues.