CSSE Seminar Series (CSSESS)
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Seminar
Applying Data Mining Techniques for Analyzing Museum Visitors' Behavior Patterns.
Speaker: Tsvi Kuflik.
Institute: University of Haifa, Israel.
Time/Place: 3:10 pm, Friday, 9 Apr, in Room 031, Erskine Building.
All are welcome.
Abstract
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 modeled in a nonintrusive 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 behavior 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.
View past or future seminars; or view the CSSESS Home Page.