Measuring Attention Control Abilities with a Gaze Following Antisaccade Paradigm

Jade Yonehiro, Nicholas D. Duran

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

Abstract

Social gaze-following consists of both reflexive and volitional control mechanisms of saccades, similar to those evaluated in the antisaccade task. This similarity makes gaze-following an ideal medium for studying attention in a social context. The present study seeks to utilize reflexive gaze-following to develop a social paradigm for measuring attention control. We evaluate two gaze-following variations of the antisaccade task. In version 1, participants are cued with still images of a social partner looking either left or right. In version 2, participants are cued with videos of a social partner shifting their gaze to the left or right. As with the traditional antisaccade task, participants were required to look in the opposite direction of the target stimuli (i.e., gaze cues). Performance on the new gaze-following antisaccade tasks are compared to the traditional antisaccade task and the highly related ability of working memory.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
PublisherThe Cognitive Science Society
Pages2735-2740
Number of pages6
ISBN (Electronic)9780991196784
StatePublished - 2018
Externally publishedYes
Event40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018 - Madison, United States
Duration: Jul 25 2018Jul 28 2018

Publication series

NameProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Country/TerritoryUnited States
CityMadison
Period7/25/187/28/18

Keywords

  • antisaccade
  • attention control
  • gaze-following
  • social cues
  • working memory

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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