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Visualizing Dynamic Ambient/Focal Attention with Coefficient \(K\)

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Eye Tracking and Visualization (ETVIS 2015)

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Abstract

Using coefficient \(\mathcal{K}\), defined on a parametric scale, derived from processing a traditionally eye-tracked time course of eye movements, we propose a straightforward method of visualizing ambient/focal fixations in both scanpath and heatmap visualizations. The \(\mathcal{K}\) coefficient indicates the difference of fixation duration and following saccade amplitude expressed in standard deviation units, facilitating parametric statistical testing. Positive and negative ordinates of \(\mathcal{K}\) indicate focal or ambient fixations, respectively, and are colored by luminance variation depicting relative intensity of focal fixation.

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Acknowledgements

We thank Dr. Helena Duchowska (MD, retired) for her help in reading the CXR images and pinpointing the anomalies contained therein.

This work was partially supported by a 2015 research grant “Influence of affect on visual attention dynamics during visual search” from the SWPS University of Social Sciences and Humanities.

Author information

Authors and Affiliations

  1. Clemson University, Clemson, SC, USA

    A. T. Duchowski

  2. Department of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland

    K. Krejtz

Authors
  1. A. T. Duchowski
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  2. K. Krejtz
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Corresponding author

Correspondence to A. T. Duchowski .

Editor information

Editors and Affiliations

  1. VISUS, University of Stuttgart, Stuttgart, Germany

    Michael Burch

  2. Max Planck Institute for Biological Cybernetics, Tübingen, Germany

    Lewis Chuang

  3. SIAT, Simon Fraser University, Surrey, British Columbia, Canada

    Brian Fisher

  4. VIS, University of Stuttgart, Stuttgart, Germany

    Albrecht Schmidt

  5. VISUS, University of Stuttgart, Stuttgart, Germany

    Daniel Weiskopf

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Duchowski, A.T., Krejtz, K. (2017). Visualizing Dynamic Ambient/Focal Attention with Coefficient \(K\) . In: Burch, M., Chuang, L., Fisher, B., Schmidt, A., Weiskopf, D. (eds) Eye Tracking and Visualization. ETVIS 2015. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-319-47024-5_13

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