04c Goals and Objectives Face Recognition.docx - Unit 05c Face Recognition Goals and Objectives Readings Lecture Notes 04c Perception Face Recognition

04c Goals and Objectives Face Recognition.docx - Unit 05c...

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Unit 05c: Face Recognition Goals and Objectives Readings: Lecture Notes: 04c Perception Face Recognition At the end of this unit, you should know and be able to use the following terms: Analytic processing: means that we break the object down into it’s component parts in order to recognize it Class training: Wong’s experiment; two training regimens; one of two where participants learned to name the Ziggerin’s class Composite task: aligned condition, offset condition; easier to identify the faces in this condition than the aligned condition. - With objects, we don’t see a difference like in faces - Configural/holistic processing: an inability to selectively attend to or selectively ignore individual parts of a face - What kind of expertise invokes holistic processing: individuation training leads to the expertise that uses holistic processing Fusiform gyrus/face area (FFA) - Activity in here is related with viewing face Individuation training: Wong’s experiment; two training regimens, one where participants learned to identify particular individual ziggerin Inversion Effect : turning a photograph of a face upside-down disrupts its identification/recognition more than an object - Disrupts recognition not makes it harder, or objects are easier - Line for faces is going to have a steeper slope on a graph against objects N-back task: see a sequence of stimuli (digits usually). Ask is it the same as the previous stimuli you are shown. Ex. is this stimulus the same as the one I saw N=1, 2, 3 stimuluses ago. - Gauthier: task where car experts are shown a sequence of alternated composite cars with composite faces - Participant task: is the top part of the face/car same as the top part of most recently presents face/car (N=2 b/c faces and cars are alternated) - Compared to performance on N=1 condition; higher numbers are associated with better performance - Compared car experts and non- experts - Result: car non-experts does not change, car experts have worse performance - Consistent with having a module that is good at recognizing things we are expert in Part-Whole Effect: I can recognize a photo of an object by one of its parts just
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Study Guide 09c Face Recognition -2-
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  • Spring '14
  • AndrewHendrickson

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