Iris: A tool for designing contextually relevant gaze visualizations

Sarah D’Angelo, Jeff Brewer, Darren Gergle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


Advances in eye tracking technology have enabled new interaction techniques and gaze-based applications. However, the techniques for visualizing gaze information have remained relatively unchanged. We developed Iris, a tool to support the design of contextually relevant gaze visualizations. Iris allows users to explore displaying different features of gaze behavior including the current fixation point, duration, and saccades. Stylistic elements such as color, opacity, and smoothness can also be adjusted to give users creative and detailed control over the design of their gaze visualization. We present the Iris system and perform a user study to examine how participants can make use of the tool to devise contextually relevant gaze visualizations for a variety of collaborative tasks. We show that changes in color and opacity as well as variation in gaze trails can be adjusted to create meaningful gaze visualizations that fit the context of use.

Original languageEnglish (US)
Title of host publicationProceedings - ETRA 2019
Subtitle of host publication2019 ACM Symposium On Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450367097
StatePublished - Jun 25 2019
Event11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 - Denver, United States
Duration: Jun 25 2019Jun 28 2019

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)


Conference11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
Country/TerritoryUnited States


  • Design
  • Eye-Tracking
  • Gaze Visualizations

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems


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