Heuristic evaluation is a well known discount evaluation technique in human-computer interaction (HCI) but has not been utilized in information visualization (InfoVis) to the same extent. While several sets of heuristics have been used or proposed for InfoVis, it is not yet known what kind of heuristics are useful for finding general InfoVis problems. We performed a meta-analysis with the goal of exploring the issues of heuristic evaluation for InfoVis. This meta-analysis concentrates on issues pertaining to the selection and organization of heuristics, and the process itself. For this purpose, we used three sets of previously published heuristics to assess a visual decision support system that is used to examine simulation data. The meta-analysis shows that the evaluation process and results have a high dependency on the heuristics and the types of evaluators chosen. We describe issues related to interpretation, redundancy, and conflict in heuristics. We also provide a discussion of generalizability and categorization of these heuristics.
In this paper we present the Landscape Unit Mountain Pine Beetle Key (LuMPB Key) -a tool for assessing different mountain pine beetle (MPB) management scenarios on a landscape scale under various conditions. Based on a conceptual model of the simulation data we develop a multiple view interface which provides access to and exploration of the data. Different management scenarios can be compared and a given management scenario can be considered under varying simulation conditions, such as forest type, climate, and degree of initial beetle infestation. On the one hand we use a multiple view interface to provide understandable chunks of information. On the other hand we use it to communicate that different views of the data exist. Views are optionally linked together to support this awareness of possible different ways of looking at this data.
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