Efficient Contrast Effect Compensation with Personalized Perception Models

Mittelstädt, Sebastian; Keim, Daniel A.

Efficient Contrast Effect Compensation with Personalized Perception Models

Dateien

Keim_0-297284.pdfGröße: 3.2 MBDownloads: 456

Datum

2015

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Computer Graphics Forum. 2015, 34(3), pp. 211-220. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12633

Zusammenfassung

Color is one of the most effective visual variables and is frequently used to encode metric quantities. Contrast effects are considered harmful in data visualizations since they significantly bias our perception of colors. For instance, a gray patch appears brighter on a black background than on a white background. Accordingly, the perception of color-encoded data items depends on the surround in the rendered visualization. A method that compensates for contrast effects has been presented previously, which significantly improves the users’ accuracy in reading and comparing color encoded data. The method utilizes established perception models to compensate for contrast effects, assuming an average human observer. In this paper, we provide experiments that show a significant difference in the perception of users. We introduce methods to personalize contrast effect compensation and show that this outperforms the original method with a user study. We, further, overcome the major limitation of the original method, which is a runtime of several minutes. With the use of efficient optimization and surrogate models, we are able to reduce runtime to milliseconds, making the method applicable in interactive visualizations.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

MITTELSTÄDT, Sebastian, Daniel A. KEIM, 2015. Efficient Contrast Effect Compensation with Personalized Perception Models. In: Computer Graphics Forum. 2015, 34(3), pp. 211-220. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.12633

BibTex

@article{Mittelstadt2015Effic-31762,
  year={2015},
  doi={10.1111/cgf.12633},
  title={Efficient Contrast Effect Compensation with Personalized Perception Models},
  number={3},
  volume={34},
  issn={0167-7055},
  journal={Computer Graphics Forum},
  pages={211--220},
  author={Mittelstädt, Sebastian and Keim, Daniel A.}
}

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Universitätsbibliographie

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