September 2011
Volume 11, Issue 11
Vision Sciences Society Annual Meeting Abstract  |   September 2011
Visual category learning can be accomplished either under ambiguous supervision or low feature saliency, but not under both challenges
Author Affiliations
  • Rubi Hammer
    Department of Psychology, Stanford University, USA
  • Kalanit Grill-Spector
    Department of Psychology, Stanford University, USA
    Neuroscience Institute, Stanford University, USA
Journal of Vision September 2011, Vol.11, 841. doi:
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Rubi Hammer, Kalanit Grill-Spector; Visual category learning can be accomplished either under ambiguous supervision or low feature saliency, but not under both challenges. Journal of Vision 2011;11(11):841.

      Download citation file:

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

  • Supplements

Visual category learning (VCL) is a cognitive process that involves identifying features shared by objects from the same category as well as features that discriminate objects from different categories even when these are not salient or when the feedback provided by supervision is ambiguous. This requires overcoming challenges both at the perceptual level and at the induction and decision-making level. To date, the interaction between these two systems has not been systematically tested. In the current study subjects learned to categorize novel 3D objects. In each VCL task objects varied along three feature dimensions, of which one was relevant for categorization and the other two were irrelevant. In one experimental condition, all visual features (both the relevant one and irrelevant ones) were highly salient and differences in each feature were easily perceived. In a second condition, all three visual features had low salience, and consequently changes along each feature dimension were hard to detect. We show that when VCL is done with highly informative supervision in which each trial is sufficient for learning the categorization rule, people are capable of learning this rule effectively within small number of learning trials for both low and high salience visual features. On the other hand, when each trial does not independently reveal the relevant feature, but it can be learned by accumulating evidence across trials, subjects can learn the categorization rule only when the features are highly visually salient. These data suggest that when the differences between objects of different categories are not visually salient, people fail to accumulate information across multiple learning trials, and therefore do not learn the categorization rule under ambiguous supervision. Overall, our data suggest that VCL can be done effectively either under conditions of ambiguous feedback information or poor feature saliency, but not when simultaneously facing both challenges.

Research is supported by RO1EY019279-01A1. 

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.