Analyzing museum visitors’ behavior patterns

Massimo Zancanaro     Tsvi Kuflik     Zvi Boger     Dina Goren-Bar     Dan Goldwasser    
International Conference on User Modeling (UM), 2007


Many studies have investigated personalized information presentation in the context of mobile museum guides. In order to provide such a service, information about museum visitors has to be collected and visitors have to be monitored and modelled in a non-intrusive manner. This can be done by using known museum visiting styles to classify the visiting style of visitors as they start their visit. Past research applied ethnographic observations of the behaviour of visitors and qualitative analysis (mainly site studies and interviews with staff) in several museums to define visiting styles. The current work validates past ethnographic research by applying unsupervised learning approaches to visitors classification. By providing quantitative empirical evidence for a qualitative theory we claim that, from the point of view of assessing the suitability of a qualitative theory in a given scenario, this approach is as valid as a manual annotation of museum visiting styles

Bib Entry

    author = "Massimo Zancanaro and Tsvi Kuflik and Zvi Boger and Dina Goren-Bar and Dan Goldwasser",
    title = "Analyzing museum visitors’ behavior patterns",
    booktitle = "International Conference on User Modeling (UM)",
    year = "2007"