The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
Many surface computing prototypes have employed gestures created by system designers. Although such gestures are appropriate for early investigations, they are not necessarily ref...
Jacob O. Wobbrock, Meredith Ringel Morris, Andrew ...
An increasingly large number of users connect to virtual worlds on a regular basis to conduct activities ranging from gaming to business meetings. In all these worlds, users proje...
Nicolas Ducheneaut, Ming-Hui Wen, Nicholas Yee, Gr...