Evaluating Information Visualization in Large Companies: Challenges, Experiences and Recommendations

Abstract : We examine the process and some implications of evaluating information visualization in a large company setting. While several researchers have addressed the difficulties of evaluating information visualizations with regards to changing data, tasks, and visual encodings, considerably less work has been published on the difficulties of evaluation within specifi c work contexts. In this paper, we speci fically focus on the challenges arising in the context of large companies with several thousand employees. We present a collection of evaluation challenges, discuss our own experiences conducting information visualization evaluation within the context of a large automotive company, and present a set of recommendations derived from our experiences. The set of challenges and recommendations can aid researchers and practitioners in preparing and conducting evaluations of their products within a large company setting.
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Michael Sedlmair, Petra Isenberg, Dominikus Baur, Andreas Butz. Evaluating Information Visualization in Large Companies: Challenges, Experiences and Recommendations. Proceedings of the CHI Workshop Beyond Time and Errors: Novel Evaluation Methods for Information Visualization (BELIV), ACM, Apr 2010, Atlanta, GA, United States. pp.79--86. ⟨inria-00587680⟩

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