Abstract
This paper proposes a method to assess the cognitive state of a human embodied as an avatar inside a 3-dimensional virtual shop. In order to do so we analyze the trajectories of the avatar movements to classify them against the set of predefined prototypes. To perform the classification we use the trajectory comparison algorithm based on the combination of the Levenshtein Distance and the Euclidean Distance. The proposed method is applied in a distributed manner to solving the problem of making autonomous assistants in virtual stores recognize the intentions of the customers.
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Hunter, D., Lastowka, F.G.: To kill an avatar. Legal Affairs (2003), http://www.legalaffairs.org/issues/July-August-2003/feature_hunter_julaug03.msp
Bogdanovych, A.: Virtual Institutions. PhD thesis, University of Technology, Sydney, Australia (2007)
Bauer, M., Deru, M.: Motion-Based Adaptation of Information Services for Mobile Users. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS, vol. 3538, pp. 271–276. Springer, Heidelberg (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 Press, New York (2004)
Konolige, K., Pollack, M.E.: A representationalist theory of intention. In: Bajcsy, R. (ed.) Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI 1993), Chambéry, France, pp. 390–395. Morgan Kaufmann publishers Inc., San Mateo (1993)
Bogdanovych, A., Simoff, S., Sierra, C., Berger, H.: Implicit Training of Virtual Shopping Assistants in 3D Electronic Instituions. In: Proceedings of e-Commerce 2005 Conference, pp. 50–57 (2005)
Perng, C.S., Wang, H., Zhang, S.R., Parker, D.S.: Landmarks: A new model for similarity-based pattern querying in time series databases. In: Proceedings of the 16th International Conference on Data Engineering, pp. 33–42 (2000)
Levenshtein, V.: Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady 10, 707–710 (1966)
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Bogdanovych, A., Bauer, M., Simoff, S. (2009). Recognizing Customers’ Mood in 3D Shopping Malls Based on the Trajectories of Their Avatars. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2009. Lecture Notes in Business Information Processing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01347-8_62
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DOI: https://doi.org/10.1007/978-3-642-01347-8_62
Publisher Name: Springer, Berlin, Heidelberg
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