The persistent visual store as the locus of fixation memory in visual search tasks

  • Authors:
  • David Kieras

  • Affiliations:
  • Computer Science and Engineering Division, Electrical Engineering and Computer Science Department, University of Michigan, 3641 Computer Science & Engineering Building, 2260 Hayward Street, Ann Ar ...

  • Venue:
  • Cognitive Systems Research
  • Year:
  • 2011

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Abstract

Experiments on visual search have demonstrated the existence of a relatively large and reliable memory for which objects have been fixated; an indication of this memory is that revisits (fixations on previously fixated objects) typically comprise only about 5% of fixations. Any cognitive architecture that supports visual search must account for where such memory resides in the system and how it can be used to guide eye movements in visual search. This paper presents a simple solution for the EPIC architecture that is consistent with the overall requirements for modeling visually-intensive tasks and other visual memory phenomena.