Abstract
Presentation of content is an important aspect of today’s virtual reality applications, especially in domains such as virtual exhibitions. The large amount and variety of exhibits in such applications raise a need for adaptation and personalization of the environment. This paper presents a content personalization framework for Virtual Exhibitions, which is based on a semantic description of content and on information implicitly collected about the users through their interaction. The proposed framework uses stereotypes to initialize user models, adapts user profiles dynamically and clusters users into interest groups. A 3D virtual museum has been implemented as a case study, and an evaluation has been conducted.
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Lepouras, G., Charitos, D., Vassilakis, C., Charissi, A., Halatsi, L.: Building a VR-Museum in a Museum. In: Proc. of VRIC Virtual Reality International Conference (2001)
Su, C.J., Yen, B., Zhang, X.: An Internet Based Virtual Exhibition System: Conceptual Design and Infrastructure. Comp. and Ind. Engineering 35(3-4), 615–618 (1998)
Ciabatti, E., Cicnoni, P., Montani, C., Scopigno, R.: Towards a Distributed 3D Virtual Museum. In: Proc. of Working Conference on Advanced Visual Interfaces, Italy, pp. 264–266 (1998)
Patel, M., White, M., Walczak, K., Sayd, P.: Digitization to Presentation – Building Virtual Museum Exhibitions. In: Proc. of Vision Video and Graphics, pp. 1–8 (2003)
Vinson, N.G.: Design Guidelines for Landmarks to Support Navigation in Virtual Environments. In: Proc. Of CHI 1999, pp. 278–285 (1999)
Modjeska, D., Waterworth, J.: Effects of Desktop 3D World Design on User Navigation and Search Performance. In: Proc. of IEEE Information Visualization, pp. 215–220 (2000)
Mukherjee, R., Sajja, E., Sen, S.: A Movie Recommendation System—An Application of Voting Theory in User Modeling. User Modeling and User-Adapted Interaction 13(1-2), 5–33 (2003)
Mobasher, B., Cooley, R., Srivastava, J.: Automatic personalization based on web usage mining. Communications of the ACM 43(8) (2000)
Eirinaki, M., Vazirgiannis, M.: Web Mining for web personalization. ACM Transactions on Internet technology 3(1), 1–27 (2003)
Schafer, J.B., Konstan, J.A., Riedl, J.: E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery 5, 115–153 (2001)
Raskutti, B., Beitz, A., Ward, B.: A Feature-based Approach to Recommending Selections based on Past Preferences. User Modeling and User-Adapted Interaction 7, 179–218 (1997)
Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User-Adapted Interaction 11, 87–110 (2001)
Celentano, A., Pittarello, F.: Observing and adapting user behavior in navigational 3D interfaces. In: Proc. of AVI 2004, pp. 275–282 (2004)
Chittaro, L., Ranon, R.: Dynamic Generation of Personalized VRML Content: a General Approach and its Application to 3D E-Commerce. In: Proc. of the seventh international conference on 3D Web technology, pp. 145–154 (2002)
dos Santos, C., Osorio, F.: An intelligent and adaptive virtual environment and its application in distance learning. In: Proc. of the working conference on Advanced visual interfaces, pp. 362–365 (2004)
Ko, D., Sumi, Y., Choi, Y., Mase, K.: Personalized Virtual Exhibition Tour (PVET): an experiment for Internet collaboration. In: Proc. of Systems, Man, and Cybernetics IEEE SMC 1999, pp. 25–29 (1999)
Rich, E.: User Modeling via Stereotypes. Cognitive Science 3, 329–354 (1979)
Fink, J., Kobsa, A.: A review and analysis of commercial user modeling servers for personalization on the world wide web. User Modeling and User-Adapted Interaction 10, 209–249 (2000)
Kim, W., Kerschberg, L., Scime, A.: Learning for automatic personalization in a semantic taxonomy-based meta-search agent. Electronic Commerce Research and Applications 1, 150–173 (2002)
Burke, R.: Hybrid Recommender Systems: Survey and Expiriments. User Modeling and User-Adapted Interaction 12, 331–370 (2002)
Perugini, S., Goncalves, M.A., Fox, E.A.: Recommender Systems Research: A Connection-Centric Survey. Journal of Intelligent Information Systems 23(2), 107–143 (2004)
Minsky, M.: A framework for representing knowledge. The Psychology of Computer Vision, pp. 211–277. McGraw-Hill, New York (1975)
Itzkovich, I., Hawkes, L.W.: Fuzzy extension of inheritance hierarchies. Fuzzy Sets and Systems 62, 143–153 (1994)
Rongen, P.H.H., Schroder, J., Dignum, F.P.M., Moorman, J.: A Multi Agent Approach to Interest Profiling of Users. In: Proc. of Multi-Agent Systems and Applications IV, pp. 326–355 (2005)
Kang, H., Yang, H.: The Effect of Anonymity on the Usage of Avatar: Comparison of Internet Relay Chat and Instant Messenger. In: Proc. of the Tenth Americas Conference on Information Systems, New York, August 2004, pp. 2734–2743 (2004)
Nowak, K.L., Rauh, C.: The Influence of the Avatar on Online Perceptions of Anthropomorphism, Androgyny, Credibility, Homophily, and Attraction. Journal of Computer-Mediated Communication 11(1), 153–178 (2005)
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Bonis, B., Stamos, J., Vosinakis, S., Andreou, I., Panayiotopoulos, T. (2007). Personalization of Content in Virtual Exhibitions. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_19
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DOI: https://doi.org/10.1007/978-3-540-77051-0_19
Publisher Name: Springer, Berlin, Heidelberg
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