Abstract
Personalization in the “museum visit” scenario is extremely challenging, especially since in many cases visitors come to the museum for the first time, and it may be the last time in their life. There is therefore a need to generate an effective user model quickly without any prior knowledge. Furthermore, the initial definition of a user model is also challenging since it should be built in a non-intrusive manner. Understanding visitors’ behavioral patterns may help in initializing their user models and supporting them better. This chapter reports three stages of analysis of behavior patterns of museum visitors. The first step assesses, following past ethnographic research, whether a distinct stereotype of behavior can be identified; the second shows that visitors’ behavior is not always consistent; the third shows that, in spite of the inconsistency, prediction of visitor type, is possible.
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Notes
- 1.
Torre Aquila is a tower at the Buonconsiglio Castle in Trento, Italy, where a fresco called “The Cycle of the Months,” a masterpiece of the Gothic period, is displayed. This fresco, painted in the Fifteenth Century, covers all fours walls of a room in the tower and illustrates the activities of aristocrats and peasants throughout the year. The museum guide used to collect visitor data is one of the many prototypes developed in the PEACH project. For more details see Ref. [17].
- 2.
It is worth noting that here we report only the main findings, since this part is also reported in detail by Zancanaro et al. [21].
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Kuflik, T., Boger, Z., Zancanaro, M. (2012). Analysis and Prediction of Museum Visitors’ Behavioral Pattern Types. In: Krüger, A., Kuflik, T. (eds) Ubiquitous Display Environments. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27663-7_10
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