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. © Springer-Verlag Berlin Heidelberg 2007.

Analyzing museum visitors' behavior patterns / Zancanaro, M.; Kuflik, T.; Boger, Z.; Goren-Bar, D.; Goldwasser, D.. - 4511:(2007), pp. 238-246. ((Intervento presentato al convegno 11th International Conference on User Modeling Conference, UM 2007 tenutosi a Corfu, grc nel 2007 [10.1007/978-3-540-73078-1_27].

Analyzing museum visitors' behavior patterns

Zancanaro M.;Kuflik T.;
2007

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 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. © Springer-Verlag Berlin Heidelberg 2007.
Proceedings of International Conference on User Modeling Conference, UM 2007
Corfu, Greece
Springer Verlag
978-3-540-73077-4
978-3-540-73078-1
Zancanaro, M.; Kuflik, T.; Boger, Z.; Goren-Bar, D.; Goldwasser, D.
Analyzing museum visitors' behavior patterns / Zancanaro, M.; Kuflik, T.; Boger, Z.; Goren-Bar, D.; Goldwasser, D.. - 4511:(2007), pp. 238-246. ((Intervento presentato al convegno 11th International Conference on User Modeling Conference, UM 2007 tenutosi a Corfu, grc nel 2007 [10.1007/978-3-540-73078-1_27].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/272689
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