"Alone together?": exploring the social dynamics of massively multiplayer online games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhancing just-in-time e-learning through machine learning on desktop context sensors
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
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This paper presents methods for capturing and storing gaming related context information into online gamer created profiles. Captured information may not be manipulated while being processed and stored within user created profiles and therefore is reliable. We propose a concept of client side capturing of profile information within the working environment of a gamer playing online games and a profile server storing generic community-extendable gaming profile data models that can be individualized. This addresses the creative power of gaming communities and faces the challenge to define machine processable data structures that can be updated with context information. A gamer created profile, enriched with detailed usage and reliable context information, improves the expressiveness and keeps it more up-to-date.