Eliciting Knowledge with Visualization - Instant Gratification for the Expert Image Classifier Who Wants to Show Rather than Tell

GIS systems the world over are awash with data that experts can classify visually. This process is time consuming and costly. Expert Systems have been built which attempt to at least pre-classify images and hence speed up the process. To build these systems it is necessary to elicit information from the human expert classifiers in order to assist the classification of these many hundreds of images. Traditionally this knowledge has been captured through interview and protocol analysis. However, this required either the expert classifier to describe verbally what they were seeing or the expert systems developer (knowledge engineer) to interpret what they were being shown.