GazeSync: Eye Movement Transfer Using an Optical Eye Tracker and Monochrome Liquid Crystal Displays

Qing Zhang, Yifei Huang, George Chernyshov, Juling Li, Yun Suen Pai, Kai Kunze

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

2 Citations (Scopus)

Abstract

Can we see the world through the eyes of somebody else? We present an early work to transfer eye gaze from one person to another. Imagine you can follow the eye gaze of an instructor while explaining a complex work step, or you can experience a painting like an expert would: Your gaze is directed to the important parts and follows the appropriate steps. In this work, we explore the possibility to transmit eye-gaze information in a subtle, unobtrusive fashion between two individuals. We present an early prototype consisting of an optical eye-tracker for the leader (person who shares the eye gaze) and two monochrome see-through displays for the follower (person who follows the eye gaze of the leader). We report the results of an initial user test and discuss future works.

Original languageEnglish
Title of host publication27th International Conference on Intelligent User Interfaces, IUI 2022 Companion
PublisherAssociation for Computing Machinery
Pages54-57
Number of pages4
ISBN (Electronic)9781450391450
DOIs
Publication statusPublished - 2022 Mar 22
Event27th International Conference on Intelligent User Interfaces, IUI 2022 - Virtual, Online, Finland
Duration: 2022 Mar 222022 Mar 25

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference27th International Conference on Intelligent User Interfaces, IUI 2022
Country/TerritoryFinland
CityVirtual, Online
Period22/3/2222/3/25

Keywords

  • eye tracking
  • gaze communication
  • gaze detection
  • gaze synchronization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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