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Designing Efficient Visualizations for Applications in the Paper and Pulp Industry
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Högskolan i Gävle. (Datavetenskap)
2009 (English)In: Proceedings of the IADIS Applied International Conference Applied Computing 2009, 2009, 403-410 p.Conference paper (Refereed)
Abstract [en]

2D and 3D visualization has become a rapidly growing area of research during the past years. For a long time advanced graphical techniques where mainly used within the scientific community, however, their potential benefits are now increasingly recognized also for industrial applications. The visualization community is meanwhile following a theoryanchored and evaluation based approach paving the way for the design of perceptually efficient visualizations. In this paper we describe the development, evaluation and deployment of efficient visualizations to support process operators in the paper and pulp process industry. We first identify and describe the data analysis task of the real working situation at hand. Starting from existing theory in the field of visualization and vision esearch, we then describe the process of designing perceptually motivated new visualizations for the specific task of the operators. The result is a new deviation color scale that we apply to 2D color map and 3D height-field representations. We then describe an experiment to formally evaluate the efficiency of these visualizations for the visual detection of thermal overheating of rotary kilns. The results of this study showed that our new differential color scale lead to significantly reduced detection times when compared with traditional color coding schemes. Also, when conventional color scales are used for the visualization of absolute temperature levels, the inclusion of the 3D cues in the visualization for the visual encoding of the rate of change contributes to faster detection of temperature increases.

Place, publisher, year, edition, pages
2009. 403-410 p.
National Category
Computer and Information Science
URN: urn:nbn:se:uu:diva-112154OAI: oai:DiVA.org:uu-112154DiVA: diva2:285103
Available from: 2010-01-11 Created: 2010-01-11 Last updated: 2010-03-01Bibliographically approved

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Seipel, Stefan
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