Effects of supervised and unsupervised categorization on visual and haptic object representations
Poster Presentation

Theresa Cooke
Max Planck Institute for Biological Cybernetics

Christian Wallraven
Max Planck Institute for Biological Cybernetics

Heinrich Buelthoff
Max Planck Institute for Biological Cybernetics

     Abstract ID Number: 156
     Full text: Not available
     Last modified: March 19, 2006
     Presentation date: 06/20/2006 10:00 AM in Hamilton Building, Foyer
     (View Schedule)

Abstract
The way we perceive objects can be shaped by how we learn to categorize them, such as increasing the saliency of diagnostic dimensions, but most evidence of this comes from unimodal studies in vision. Does category learning have comparable effects when objects are perceived using touch? In this study, subjects learned to categorize a set of 25 novel, 3D objects which varied parametrically in shape and texture, using either vision or touch, and then provided similarity ratings on the objects. Multidimensional scaling (MDS) was used to construct a perceptual stimulus space and estimate the relative importance of shape and texture dimensions for each subject. The effects of categorization were quantified by comparing dimension weights when similarity ratings were performed 1) without prior categorization experience, 2) after an unsupervised categorization task, and 3) after a supervised task in which subjects learned groupings based on texture. In preliminary results (5 subjects per condition), significant differences between unimodal dimension weights found in condition 1 (shape dominating for vision; shape and texture equally weighted for touch) were not observed in conditions 2 and 3. These findings suggest that externally as well as internally-guided categorization could serve as a mechanism for reducing initial differences in unimodal representations of novel objects.