WUAV 2013 proceedings

Data Visualization is the representation of data in some systematic form to communicate the information extracted more clearly and effectively, exploiting the cognitive abilities of

Starting with work from the area of open/scrutable learner models in the area of intelligent tutoring systems, through approaches for explaining recommendations to approaches

In this work we focus on data ex- traction and data visualization for information retrieval sys- tems, i.e., how to extract data from the sources of inter- est in a convenient way,

cognitive ability based on the gaze data and selected areas of interest, thus showing, that there are distinct differences in patterns and interaction styles worth of adapting to

Abstract. It is often difficult for humans to understand what course of action is proposed in a plan or workflow. This is particularly the case for long plans, or plans with

An interactive clustering and visualization approach presented in the paper allows the user to communicate their personal mental models of the communities to the clustering

Similarly, in our own work [15], we have shown that we can predict a number of visualization task types and user characteristics using simple machine learning techniques

Steichen, B., Carenini, G., Conati, C.: User-adaptive information visualization - using eye gaze data to infer visualization tasks and user cognitive abilities.. Ahn, J.W.,