Agent-Assisted Navigation for Virtual Worlds

Fahad Shah, Philip Bell, Gita Sukthankar

Abstract: This paper describes the design and training of an agent that helps users navigate in Second Life (SL), a massively multi-player online game environment.SL allows users to create a virtual avatar and explore areas constructed by other users.With the increasing number of places to visit it is difficult for a user to explore all the places.The built-in keyword search mechanism is fairly limited and users typically find new places through personal exploration or tips from their friends.This motivates the need for a recommendation system that can suggest places to visit, personalized with the user’s destination preferences.