scholarly journals Size doesn't matter. It's the quality of people's social networks that predicts individual differences in face recognition ability.

2018 ◽  
Vol 18 (10) ◽  
pp. 937 ◽  
Author(s):  
Laura Engfors ◽  
Romina Palermo ◽  
Linda Jeffery
2017 ◽  
Vol 26 (3) ◽  
pp. 218-224 ◽  
Author(s):  
Gillian Rhodes

Face adaptation generates striking face aftereffects, but is this adaptation useful? The answer appears to be yes, with several lines of evidence suggesting that it contributes to our face-recognition ability. Adaptation to face identity is reduced in a variety of clinical populations with impaired face recognition. In addition, individual differences in face adaptation are linked to face-recognition ability in typical adults. People who adapt more readily to new faces are better at recognizing faces. This link between adaptation and recognition holds for both identity and expression recognition. Adaptation updates face norms, which represent the typical or average properties of the faces we experience. By using these norms to code how faces differ from average, the visual system can make explicit the distinctive information that we need to recognize faces. Thus, adaptive norm-based coding may help us to discriminate and recognize faces despite their similarity as visual patterns.


Author(s):  
Michael Jeanne Childs ◽  
Alex Jones ◽  
Peter Thwaites ◽  
Sunčica Zdravković ◽  
Craig Thorley ◽  
...  

2020 ◽  
Author(s):  
Alejandro Estudillo ◽  
Wong Hoo Keat

The 20-Item Prosopagnosia Items (PI-20) was recently introduced as a self-report measure of face recognition abilities and as an instrument to help the diagnosis of prosopagnosia. In general, studies using this questionnaire have shown that observers have moderate to strong insights into their face recognition abilities. However, it remains unknown whether these insights are equivalent for the whole range of face recognition abilities. The present study investigates this issue using the Mandarin version of the PI-20 and the Cambridge Face Memory Test Chinese (CFMT-Chinese). Our results showed a moderate negative association between the PI-20 and the CFMT-Chinese. However, this association was driven by people with low and high face recognition ability, but absent in people within the typical range of face recognition performance. The implications of these results for the study of individual differences and the diagnosis of prosopagnosia are discussed.


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