The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Interaction Design
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Evaluating Information Visualizations
Information Visualization
Distributed Cognition as a Theoretical Framework for Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Supporting Exploration Awareness in Information Visualization
IEEE Computer Graphics and Applications
Information Visualization
Research Methods in Human-Computer Interaction
Research Methods in Human-Computer Interaction
Comparing benchmark task and insight evaluation methods on timeseries graph visualizations
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
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In this position paper, we describe two methods for the analysis of sequences of interaction with information visualization tools -- log file analysis and thinking aloud. Such an analysis is valuable because it can help designers to understand cognition processes of the users and, as a consequence, to improve the design of information visualizations. In this context, we also discuss the issue of categorization of user activities. Categorization helps researchers to generalize results and compare different information visualization tools.