September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Expertise predicts perceived visual similarity between exemplars of real-world object categories
Author Affiliations
  • Alexander N. Minos
    Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
  • Kayla M. Ferko
    Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
  • Stefan Köhler
    Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
Journal of Vision September 2021, Vol.21, 2985. doi:https://doi.org/10.1167/jov.21.9.2985
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Alexander N. Minos, Kayla M. Ferko, Stefan Köhler; Expertise predicts perceived visual similarity between exemplars of real-world object categories. Journal of Vision 2021;21(9):2985. https://doi.org/10.1167/jov.21.9.2985.

      Download citation file:


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

      ×
  • Supplements
Abstract

Observers perceive their visual environment in unique ways. Ferko et al. (2021) recently reported that the perceived visual similarity among exemplars of real-world categories differs across observers in ways that influence discrimination behaviour. What observer characteristics mediate this variability across individuals remains poorly understood. We hypothesized that category-specific expertise predicts the perceived similarity ratings among object exemplars in these categories.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×