Title :
Visualizing usability log data
Author :
Gray, Mark ; Badre, Albert ; Guzdial, Mark
Author_Institution :
Coll. of Comput., Georgia Univ., Athens, GA, USA
Abstract :
Our approach to testing graphical user interfaces involves logging large amounts of data. These logs capture information at the key press and mouse click level about how an application is used. Since the raw data is voluminous and not at a useful level of detail, we use analysis and visualization to find information that is interesting and useful to a usability analyst but was previously buried in the data. We call some of our custom visualizations “contextual” meaning they use key elements of the context the data was collected in as an organizing structure. We expect this type of visualization to be easier and faster to understand and more helpful than traditional charts. We hope that our finding a natural geometry for these visualizations will inspire others whose data apparently has no inherent geometry to find natural ways to visualize their data
Keywords :
data analysis; data visualisation; graphical user interfaces; human factors; program testing; charts; custom visualizations; data analysis; data logging; geometry; graphical user interface testing; key press; mouse click; organizing structure; usability analysis; usability log data visualisation; Computer interfaces; Data visualization; Educational institutions; Geometry; Information analysis; Mice; Organizing; Software testing; System testing; Usability;
Conference_Titel :
Information Visualization '96, Proceedings IEEE Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7668-X
DOI :
10.1109/INFVIS.1996.559227