The hierarchical flow of eye movements

Michael Burch, Ayush Kumar, Klaus Mueller

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Eye movements are composed of spatial and temporal aspects. Moreover, not only the eye movements of one subject are of interest, but a data analyst is more or less interested in the scanning strategies of a group of people in a condensed form. This data aggregation can provide useful insights into the visual attention over space and time leading to the detection of possible visual problems or design flaws in the presented stimulus. In this paper we present a way to visually explore the flow of eye movements, i.e., we try to bring a layered hierarchical structure into the spatio-temporal eye movements. To reach this goal, the stimulus is spatially divided into areas of interest (AOIs) and temporally or sequentially aggregated into time periods or subsequences. The weighted AOI transitions are used to model directed graph edges while the AOIs build the graph vertices. The flow of eye movements is naturally obtained by computing hierarchical layers for the AOIs while the downward edges indicate the hierarchical flow between the AOIs on the corresponding layers.

Original languageEnglish
Title of host publicationProceedings - ETVIS 2018
Subtitle of host publicationEye Tracking and Visualization
EditorsStephen N. Spencer
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Number of pages5
ISBN (Electronic)978-1-4503-5787-6
DOIs
Publication statusPublished - 15 Jun 2018
Event3rd Workshop on Eye Tracking and Visualization, ETVIS 2018 - Warsaw, Poland
Duration: 15 Jun 2018 → …

Conference

Conference3rd Workshop on Eye Tracking and Visualization, ETVIS 2018
CountryPoland
CityWarsaw
Period15/06/18 → …

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Keywords

  • Areas of interest
  • Eye tracking
  • Hierarchical layout

Cite this

Burch, M., Kumar, A., & Mueller, K. (2018). The hierarchical flow of eye movements. In S. N. Spencer (Ed.), Proceedings - ETVIS 2018: Eye Tracking and Visualization [3] New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3205929.3205930