September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Emotion recognition of perceived genuine or posed expressions using web-based eye tracking
Author Affiliations
  • Tahirih Altair
    University of Victoria
  • James Tanaka
    University of Victoria
  • Amy Dawel
    The Australian National University
  • Amy vanWell
    Harvard Medical School
Journal of Vision September 2021, Vol.21, 2983. doi:https://doi.org/10.1167/jov.21.9.2983
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      Tahirih Altair, James Tanaka, Amy Dawel, Amy vanWell; Emotion recognition of perceived genuine or posed expressions using web-based eye tracking. Journal of Vision 2021;21(9):2983. https://doi.org/10.1167/jov.21.9.2983.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

In everyday life emotions may be genuine (e.g. smiling at a loved one) or posed (e.g. smiling to be polite). The current study investigates how perceived sincerity influences emotion recognition. A collection of naturalistic expressions was used, taken from real-world media and normed for perceived genuineness. Gazer, a web-based eye tracking software, was used to record gaze during the trials.

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