This paper presents an approach that aims to integrate intelligent agents, user models and automatic content categorization in a virtual environment. In this environment, called AdapTIVE (Adaptive Three-dimensional Intelligent and Virtual Environment), an intelligent virtual agent assists users during navigation and retrieval of relevant information. The users' interests and preferences, represented in a user model, are used in the adaptation of environment structure. An automatic content categorization process, that applies machine-learning techniques, is used in the spatial organization of the contents in the environment. This is a promising approach for new and advanced forms of education, entertainment and e-commerce. In order to validate our approach, a case study of a distance-learning environment, used to make educational content available, is presented. © Springer-Verlag 2004 References.
CITATION STYLE
Santos, C. T. D., & Osório, F. S. (2004). Integrating intelligent agents, user models, and automatic content categorization in a virtual environment. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3220, 128–139. https://doi.org/10.1007/978-3-540-30139-4_13
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