Familiar face recognition essay🐥 Flashcards
What is the definition of familiar face recognition?
The ability to recognize faces we have encountered before with high accuracy.
Which model provides a framework for understanding the robustness of face recognition?
The Bruce and Young model.
What is the thesis for the essay?
Familiar face recognition is highly robust due to specialized cognitive mechanisms, but some factors like within-person variability may challenge it.
What did a University of Glasgow study find about face recognition from low-quality CCTV images?
It found 95% accuracy, increasing to 97% with multiple angles/photos.
How did Jenkins & Kerr (2013) test familiar face recognition, and what was the result?
They used corneal reflections, finding 84% accuracy.
What did Hole et al. (2002) discover about recognizing pixelated or distorted images?
Recognition persisted even with pixelation or distortion, using warped images of celebrities.
What is within-person variability in the context of face recognition?
It refers to changes in a person’s face due to aging, head direction, cameras, and lighting.
How does familiarity lessen within-person variability?
Those familiar with a face can still recognize it with 93% accuracy in new instances of familiar people.
What features do familiar face recognition rely on more heavily?
Internal features like the eyes, nose, and mouth rather than external features like the hairline and jaw.
What did Kramer et al. (2018) demonstrate about external features in face recognition?
External features are more susceptible to within-person variability.
How does within-person variability challenge traditional assumptions about face recognition?
It shows that recognition is not based on static, consistent features, making accurate recognition in real-world contexts more challenging.
When might familiar face recognition accuracy decrease, according to Chapman et al.?
During demanding tasks lasting for extended periods, such as 1 hour.
How do contextual factors impact familiar face recognition?
Recognition can be impaired when faces are seen out of context, such as unexpectedly encountering a familiar person in an unusual setting.
What does the surprise lecturer recognition test demonstrate?
Few students recognized their lecturer when presented unexpectedly in an unrelated experiment, showing the impact of unexpected contexts on recognition.
What brain area is crucial for face recognition, according to the Bruce and Young model?
The Fusiform Face Area (FFA).
What is Stage 1 in the Bruce and Young model?
Structural encoding, which includes view-centered and abstract structural codes.
What happens during Stage 2 of the Bruce and Young model?
Activation of Face Recognition Units (FRUs).
What is activated in Stage 3 of the Bruce and Young model?
Person Identity Nodes (PINs) for semantic information.
What evidence supports the Bruce and Young model?
Young et al. (1986) found that participants recognized familiarity faster than identifying semantic information, supporting the step-by-step process of the model.
What is a strength of the Bruce and Young model?
It provides a clear, step-by-step process for face recognition.
What is a weakness of the Bruce and Young model?
It does not explain individual differences, such as super-recognizers or individuals with prosopagnosia.
Who are super-recognizers?
Individuals with extraordinary face recognition abilities, scoring exceptionally on tests like the Cambridge Face Memory Test.
In what fields are super-recognizers utilized?
Law enforcement, border control, and security-related fields.
How do super-recognizers and prosopagnosics score in standard deviations?
Super-recognizers: +2 SDs; Prosopagnosics: -2 SDs.
