NDLI: Heuristics for information visualization evaluation

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Heuristics for information visualization evaluation

Content Provider	ACM Digital Library
Author	Neumann, Petra Hancock, Mark S. Zuk, Torre Carpendale, Sheelagh Schlesier, Lothar
Abstract	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.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	1595935622
DOI	10.1145/1168149.1168162
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-05-23
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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