Perceptual switch for gaze interaction

Jooyeon Lee, Jong Seok Lee

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

Abstract

One of the main drawbacks of the fixation-based gaze interfaces is that they are unable to distinguish top-down attention (or selection, a gaze with a purpose) from stimulus driven bottom-up attention (or navigation, a stare without any intentions) without time durations or unnatural eye movements. We found that using the bistable image called the Necker's cube as a button user interface (UI) helps to remedy the limitation. When users switch two rivaling percepts of the Necker's cube at will, unique eye movements are triggered and these characteristics can be used to indicate a button press or a selecting action. In this paper, we introduce (1) the cognitive phenomenon called "percept switch" for gaze interaction, and (2) propose "perceptual switch" or the Necker's cube user interface (UI) which uses "percept switch" as the indication of a selection. Our preliminary experiment confirms that perceptual switch can be used to distinguish voluntary gaze selection from random navigation, and discusses that the visual elements of the Necker's cube such as size and biased visual cues could be adjusted for the optimal use of individual users.

Original languageEnglish
Title of host publicationUIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages78-80
Number of pages3
ISBN (Electronic)9781450359498
DOIs
Publication statusPublished - 2018 Oct 11
Event31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018 - Berlin, Germany
Duration: 2018 Oct 142018 Oct 17

Publication series

NameUIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology

Other

Other31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018
Country/TerritoryGermany
CityBerlin
Period18/10/1418/10/17

Bibliographical note

Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).

All Science Journal Classification (ASJC) codes

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

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