Iris

Gaze visualization design made easy

Jeff Brewer, Sarah D’Angelo, Darren Gergle

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

2 Citations (Scopus)

Abstract

Eye movements contain a wealth of information about how we process visual information. However, typical visual representations of gaze only reflect a single feature such as the current fixation point. As eye tracking technology becomes more affordable and ubiquitous it is important to consider the entire design space for visualizing eye movements. The Iris system allows users to quickly design visualizations to represent gaze patterns in real time. The visualization can be manipulated to represent different features of gaze including current fixation, duration, and saccades. Stylistic elements can also be adjusted such as color, opacity, and smoothness to give users creative and detailed control over the design of their gaze visualization.

Original languageEnglish (US)
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
StatePublished - Apr 20 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: Apr 21 2018Apr 26 2018

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
CountryCanada
CityMontreal
Period4/21/184/26/18

Fingerprint

Eye movements
Visualization
Opacity
Color

Keywords

  • Design
  • Eye-Tracking
  • Gaze Visualization

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Brewer, J., D’Angelo, S., & Gergle, D. (2018). Iris: Gaze visualization design made easy. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). [D504] Association for Computing Machinery.
Brewer, Jeff ; D’Angelo, Sarah ; Gergle, Darren. / Iris : Gaze visualization design made easy. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.
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Brewer, J, D’Angelo, S & Gergle, D 2018, Iris: Gaze visualization design made easy. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. vol. 2018-April, D504, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 4/21/18.

Iris : Gaze visualization design made easy. / Brewer, Jeff; D’Angelo, Sarah; Gergle, Darren.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018. D504.

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

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Brewer J, D’Angelo S, Gergle D. Iris: Gaze visualization design made easy. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April. Association for Computing Machinery. 2018. D504