Face Recognition- Holistic theory
- Created by: natjade96
- Created on: 19-04-15 21:47
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- Face Recognition- Holistic Theory
- Young et al
- Supports the sequential nature of facial recognition
- Participants kept a diary to note when they struggled to recognise a face
- There were no reports of naming people if the participant was given no other information but there were 190 cases people gave a description without a name
- Better than Shepard et al
- Took place in the real world= more ecologically valid
- More longitudinal
- Walton et al
- 12 faces of new mothers and 12 strangers
- Matched on hair and eye colour, hairstyle and complexion
- Babies as young as 1 day kept their mothers on screen longer
- Children controlled how long the image appeared by increased sucking on a dummy
- 12 faces of new mothers and 12 strangers
- Evaluation
- Lots of empirical evidence
- Flude et al- Participants with brain damage could name a persons occupation 85% of the time but name them only 15%
- Although prosopagno-sia patients do not conciously recognise faces, use of GSR shows they do subconsciously recognise faces
- Both FRU and PIN's were activated
- Lacks detail for unfamiliar face recognition
- Key Points
- Face recognition develops in infancy
- Lighting & motion can effect recognition
- Good lighting and motion can improve recognition which creates problems for face recognition software
- Specialist neurons deal with face recognition
- Bruce et al
- A familiar face is structurally encoded. This means that a description/ representation of the face is produced
- This activates Face Recognition Units (FRU's). Each face known to the viewer has a FRU. Each FRU contains structural information about the face
- This activates Person Identity Nodes (PIN's). This contains semantic information about the person such as normal context, occupation, interests etc
- This activates Name Generation. Information about a person's name is stored separately from other information and so is accessed last
- This activates Person Identity Nodes (PIN's). This contains semantic information about the person such as normal context, occupation, interests etc
- This activates Face Recognition Units (FRU's). Each face known to the viewer has a FRU. Each FRU contains structural information about the face
- A familiar face is structurally encoded. This means that a description/ representation of the face is produced
- Young et al
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