Location-based team recommendation in computer gaming scenarios

Abstract

Computer games have evolved from rather simple single player games to multi player games played online in virtual or mixed/augmented reality worlds. This paper presents ideas to support team composition in different computer gaming scenarios. The approach is based on a generic team composition model. Various recommender techniques can be used in this framework. We explain how to extend this framework to integrate location using spatial operations in two different ways: location as constraints in the meta model and location as part of team member variables that describe attributes of potential team members. We then show how to utilize the proposed solution in location-based team recommenders ranging from games running in completely virtual environments to games whose course of action takes almost completely place in the real world.