Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applicatio...
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
This paper describes an approach towards automating the identification of design problems with three-dimensional mediated or gaming environments through the capture and query of u...
Tim Marsh, Kiyoung Yang, Cyrus Shahabi, Wee Ling W...
The described dissertation focuses on social regulation of user behavior within virtual social spaces. A multi-year field study of two fantasy-based game MUDs (multi-user dungeons...