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Factors underlying visual illusions are illusion-specific but not feature-specific

  • Aline F. Cretenoud*
  • , Harun Karimpur
  • , Lukasz Grzeczkowski
  • , Gregory Francis
  • , Kai Hamburger
  • , Michael H. Herzog
  • *Kontaktforfatter
  • Swiss Federal Institute of Technology in Lausanne
  • Justus Liebig University Giessen
  • Ludwig-Maximilian University of Munich
  • Purdue University

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

Common factors are ubiquitous. For example, there is a common factor, g, for intelligence. In vision, there is much weaker evidence for such common factors. For example, visual illusion magnitudes correlate only weakly with each other. Here, we investigated whether illusions are hyper-specific as in perceptual learning. First, we tested 19 variants of the Ebbinghaus illusion that differed in color, shape, or texture. Correlations between the illusion magnitudes of the different variants were mostly significant. Second, we reanalyzed a dataset from a previous experiment where 10 illusions were tested under four conditions of luminance and found significant correlations between the different luminance conditions of each illusion. However, there were only very weak correlations between the 10 different illusions. Third, five visual illusions were tested with four orientations. Again, there were significant correlations between the four orientations of each illusion, but not across different illusions. The weak inter-illusion correlations suggest that there is no unique common mechanism for the tested illusions. We suggest that most illusions make up their own factor.

OriginalsprogEngelsk
TidsskriftJournal of Vision
Vol/bind19
Udgave nummer14
Sider (fra-til)1-21
Antal sider21
ISSN1534-7362
DOI
StatusUdgivet - 2019
Udgivet eksterntJa

Bibliografisk note

Publisher Copyright:
© 2019 Association for Research in Vision and Ophthalmology Inc.

Finansiering

We thank Marc Repnow for technical support and helpful comments. This work was supported by the project ‘‘Basics of visual processing: From elements to figures’’ (Project number: 320030_176153 / 1) of the Swiss National Science Foundation (SNSF) and by a National Centre of Competence in Research (NCCR Synapsy) grant from the SNSF (51NF40-185897). We thank Marc Repnow for technical support and helpful comments. This work was supported by the project ''Basics of visual processing: From elements to figures'' (Project number: 320030_176153 / 1) of the Swiss National Science Foundation (SNSF) and by a National Centre of Competence in Research (NCCR Synapsy) grant from the SNSF (51NF40-185897).

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