Title

Identifying User Destinations In Virtual Worlds

Abstract

This paper focuses on the identification of human activity pat-terns in SecondLife (SL), a user-constructed virtual environ-ment. SecondLife allows the users to create a virtual avatar, explore areas constructed by other users, socialize, and con-duct financial transactions just as one would in the real world. However unlike the real world, new attractions can be con-structed within hours and previous ones often fall into disuse rapidly. Without current information about the state of re-gions in the virtual world, it is difficult to infer the purpose of the user's actions from location information. In this paper, we present an approach for gathering data on users' activities and building a map of SecondLife annotated with informa-tion about activities that the users were able to perform in each region. Using this map, a recommender agent built into the user's heads-up display can present suggestions of other areas to visit based on data collected from previous users. We discuss the the use of five supervised classifiers and report classification results for the map construction portion of the agent. Copyright © 2009, Assocation for the Advancement of ArtdicaI Intelligence (www.aaai.org). All rights reserved.

Publication Date

11-4-2009

Publication Title

Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22

Number of Pages

445-446

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

70350518824 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/70350518824

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