Expert System for Categorization of Museum Visitors
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Authors
Date
2013
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Publisher
Studio NOA for University of Silesia in Katowice
Abstract
In the past few years, the process of lifelong learning has become more important. A tour of an educational exhibition is an interesting and attractive activity for a person receiving an education. A museum, art gallery, zoological or botanical garden or even a technological park can all be perceived as an educational exhibition. If we want the exhibition tour to provide an educational benefit to the visitor, we need to offer him adequate information about individual exhibits. The exhibition has to be personalized, that is tailored to the various kinds of visitors. This paper deals with the issue of categorizing museum visitors using ICT, specifically an expert system which is a part of a “virtual guide”. Based on an initial analysis of a visitor, the virtual guide proposes a tour through the exhibition so that it brings the visitor the maximal educational benefit while at the same time offers information about the displayed exhibits in such a way that is most interesting and comprehensible.
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Citation
Lukáš Najbrt, 2013: Expert System for Categorization of Museum Visitors, [in] E-learning & Lifelong Learning. Monograph. Sc. Editor Eugenia Smyrnova-Trybulska, Studio Noa for University of Silesia in Katowice, Katowice-Cieszyn, pp. 511-523. ISBN 978-83-60071-66-3.