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Interactive interaction plot

Supporting parameter space exploration in a design phase

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Abstract

Design of experiments (DOE) is the study of how to vary control parameters to efficiently design and evaluate experiments. Main effects plot and interaction plot are two data views often used to explore differences between mean values and interactions between the DOE parameters but they are mostly limited to two parameters. We propose a new data view, interactive interaction plot, that supports exploration and analysis of high-dimensional interactions between parameters. The data view is integrated within a coordinated multiple views system. We describe the new data view using an Olympic medals data set. We also describe a case study dealing with initial selection of hybrid vehicle components. Very positive feedback from automotive domain experts demonstrates the usefulness of the newly proposed approach.

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Acknowledgments

We thank Goran Todorović from AVL for numerous fruitful discussions. Part of this work was done in the scope of the K1 program at the VRVis Research Center. Part of this work was supported by a grant from the National Institute of Mental Health (R21MH100268).

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Authors and Affiliations

  1. VRVis Research Center, Vienna, Austria

    Rainer Splechtna, Katja Bühler & Krešimir Matković

  2. Virginia Tech, Blacksburg, VA, USA

    Mai Elshehaly & Denis Gračanin

  3. AVL-AST doo, Zagreb, Croatia

    Mario Ɖuras

Authors
  1. Rainer Splechtna
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  2. Mai Elshehaly
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  3. Denis Gračanin
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  4. Mario Ɖuras
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  5. Katja Bühler
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  6. Krešimir Matković
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Correspondence to Krešimir Matković.

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Splechtna, R., Elshehaly, M., Gračanin, D. et al. Interactive interaction plot. Vis Comput 31, 1055–1065 (2015). https://doi.org/10.1007/s00371-015-1095-x

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