Abstract
Achievement of museum guide systems, in physical and virtual worlds, providing the personalization and context awareness features requires the prior analysis and identification of visitors’ behaviors. This paper analyzes and synthesizes visitors’ behaviors in museums and art galleries by using our defined parameters. A visit time and a observation distance can be calculated by using the proposed functions. The proposed synthesis algorithm is developed and used in classification. Classifying visitor styles is simply implemented by using the average and variance of their stopover time at and distance to all exhibits as shown in this paper.
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References
Veron, E., Levasseur, M.: Ethnographie de l’Exposition. Bibliothque publique d’Information, Centre Georges Pompidou, Paris (1983)
Bianchi, A., Zancanaro, M.: Tracking users’ movements in an artistic physical space. In: The i 3 Annual Conference, Siena, Italy, October 20-22, pp. 103–106 (1999)
Gabrielli, F., Marti, P., Petroni, L.: The environment as interface. In: The i 3 Annual Conference, Siena, Italy, October 20-22, pp. 44–47 (1999)
Zancanaro, M., Kuflik, T., Boger, Z., Goren-Bar, D., Goldwasser, D.: Analyzing museum visitors’ behavior patterns. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 238–246. Springer, Heidelberg (2007)
Hatala, M., Wakkary, R.: Ontology-based user modeling in an augmented audio reality system for museums. User Modeling and User-Adapted Interaction (3-4), 339–380 (2005)
Chittaro, L., Ieronutti, L.: A visual tool for tracing users’ behavior in virtual environments. In: AVI 2004: Proceedings of the working conference on Advanced visual interfaces, pp. 40–47. ACM, New York (2004)
Oppermann, R., Specht, M.: Context-sensitive nomadic exhibition guide. In: Proc. Ubicomp 2000, Berlin, pp. 127–142. Springer, Heidelberg (2000)
Sparacino, F.: The museum wearable: real-time sensor-driven understanding of visitors’ interests for personalized visually-augmented museum experiences. In: Proceedings of Museums and the Web (MW 2002), pp. 17–20 (2002)
Sookhanaphibarn, K., Thawonmas, R.: A framework for design and evaluation of digital museums in second life as learning institutions. In: Proceedings of International Conference on Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, Los Alamitos (2009)
Sookhanaphibarn, K., Thawonmas, R.: A content management system for user-driven museums in second life. In: Proceedings of International Conference on Cyberworld. IEEE, Los Alamitos (2009)
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Sookhanaphibarn, K., Thawonmas, R. (2009). A Movement Data Analysis and Synthesis Tool for Museum Visitors’ Behaviors. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_12
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DOI: https://doi.org/10.1007/978-3-642-10467-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
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