We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
The paradigm of Ubiquitous computing seeks to build a computing environment that responds to user context. An ideal file system for the Ubiquitous environment is one that can succ...
Attentive systems pay attention to what users do so that they can attend to what users need. Such systems track user behavior, model user interests, and anticipate user desires an...
Paul P. Maglio, Rob Barrett, Christopher S. Campbe...
—Currently the user’s web search is disjoint from the resources which is subsequently browsed. Specifically the related instances of the search are not displayed on the followi...
Kevin Koidl, Owen Conlan, Lai Wei, Ann Marie Saxto...
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...