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                            Library & Multimedia
 Temporal Sequences Quantify the Contributions of Individual Fixations in Complex Perceptual Matching Tasks
NCJ Number
              249178
Journal

*Cognitive Science* Volume: 37 Issue: 4 Dated: May/June 2013 Pages: 731-756
Author(s)
          Thomas Busey;
                        Chen Yu;
                        Dean Wyatte;
                        John Vanderkolk
Date Published

June 2013
Length
              28 pages
Annotation
              This study applied techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations.
Abstract
              Perceptual tasks - such as object matching, mammogram interpretation, mental rotation, and satellite imagery - often require the assignment of correspondence to fuse information across views. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. The study results show that experts and novices had similar surface behavior, such as the number of fixations made or the duration of fixations; however, the approach applied to data from experts was able to identify more corresponding areas between two prints. The fixations that were associated with clusters that map with high probability to corresponding location on the other prints were likely to have greater utility in a visual matching task. These techniques address a fundamental problem in eye tracking research with perceptual matches tasks. Given that the eyes always point somewhere, which fixations are the most informative and therefore are likely to be relevant for the comparison task? (Publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2009-DN-BX-K226
                                2005-MU-BX-K076


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)


  
  
        
  Award
        The information content of friction ridge impressions as revealed by human experts
                                Adding human expertise to the quantitative analysis of fingerprints
    
  
  
Date Published: June 1, 2013
    
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