Visual Cogniiton

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  • Created by: Chloe
  • Created on: 23-04-15 19:11
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  • Visual Cognition
    • Face vs Image recognition: face recognition is achieved when a face is recognised despite image variation between learning & test
      • When recognising images (pictures) then it is recognition of pictorial info
        • Significant difference between recognising familiar vs unfamiliar faces
          • Face vs Image recognition: face recognition is achieved when a face is recognised despite image variation between learning & test
            • When recognising images (pictures) then it is recognition of pictorial info
              • Significant difference between recognising familiar vs unfamiliar faces
      • Face recognition model 1 - Bruce & Young (1986)
        • Familiar: view centred description -> expressing independent descriptions -> face recogniiton units -> personal identity notes -> name generation
        • Unfamiliar: expression analysis --- facial speech analysis --- directed visual processing -> cognitive system
        • Names of familiar faces are harder to recall as name generation comes after gaining semantic info
        • Criticism: recognition of unfamiliar faces not well explained .... people can match faces & names without accessing any semantic into
      • Differences in the two models: 1)Where name information is stored, and the explanations for the difficulty in recalling ‘names’. 2)Where familiarity decisions are made    3)How components (or units) are linked (unidirectional vs. bidirectional)
        • Face recognition model 1 - Bruce & Young (1986)
          • Familiar: view centred description -> expressing independent descriptions -> face recogniiton units -> personal identity notes -> name generation
          • Unfamiliar: expression analysis --- facial speech analysis --- directed visual processing -> cognitive system
          • Names of familiar faces are harder to recall as name generation comes after gaining semantic info
          • Criticism: recognition of unfamiliar faces not well explained .... people can match faces & names without accessing any semantic into
        • Face recognition model 2 - Bruce, Burton & Johnston (1990)
          • (1) Face recognition units: a view independent unit activated by familiar face recognition
            • (2) Person identity notes: do i know them?
              • Semantic info: names & semantic info all stored here
              • 3 pools linked by activation of excitatpry links
                • Semantic info: names & semantic info all stored here
                • (1) Face recognition units: a view independent unit activated by familiar face recognition
                  • (2) Person identity notes: do i know them?
                    • 3 pools linked by activation of excitatpry links
            • Advantages:more precise & explains why faces and names can be linked without access to other information

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