Human-computer interaction (2nd ed.)
Human-computer interaction (2nd ed.)
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
The Use and Misuse of Focus Groups
IEEE Software
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
Visualising student tracking data to support instructors in web-based distance education
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Top 10 Unsolved Information Visualization Problems
IEEE Computer Graphics and Applications
Generation of Graphical Representations of Student Tracking Data in Course Management Systems
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Mixing evaluation methods for assessing the utility of an interactive InfoVis technique
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Usability and transferability of a visualization methodology for medical data
USAB'07 Proceedings of the 3rd Human-computer interaction and usability engineering of the Austrian computer society conference on HCI and usability for medicine and health care
Supporting action research with learning analytics
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Blending the repertory grid technique with focus groups to reveal rich design relevant insight
Proceedings of the 6th International Conference on Designing Pleasurable Products and Interfaces
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This paper reports our experience of evaluating an application that uses visualization approaches to support instructors in Web based distance education. The evaluation took place in three stages: a focus group, an experimental study, and a semi-structured interview. In this paper we focus our attention on the focus group, and we will show how this evaluation approach can be very effective in uncovering unexpected problems that cannot be identified with analytic evaluations or controlled experiments.