Categorization of Museum Visitors as Part of System for Personalized Museum Tour

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 for 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 maximum educational benefit while at the same time offers information about the displayed exhibits in such a way that is most interesting and comprehensible.

Personalisation in Cyber-Physical-Social Systems: A Multi-stakeholder aware Recommendation and Guidance

“…This is a soft constraint introduced by estimating visiting times per POI depending on the type of visitors. For this we adopted the analogy used in the work of Najbrt et al [15] to classify museum visitors in to four visiting style metaphors (Ant, butterfly, fish and grasshopper). Thus, the task is to suggest a recommendation set R(u) for a user u by solving the following MIP problem:…”

An Ontology Engineering Approach to User Profiling for Virtual Tours of Museums and Galleries

“…In the profile construction phase, both types of data combine to form information that is input to profile constructor software. The visitor"s profile is therefore a record of his or her unique characteristics such as:  Socio-demographic characteristics [38] -age, gender, occupation, education, impairments etc. ;  "Museological" characteristics [38] -purpose of visit, interest in museum topics, preferences of subject, prior knowledge, level of engagement with the topic, etc.…”

“…Visitor"s basic demographic details "age", "gender", "education", "occupation", "first language", "impairments" [38].…”