scholarly journals Person knowledge shapes face identity perception

Cognition ◽  
2021 ◽  
Vol 217 ◽  
pp. 104889
Author(s):  
DongWon Oh ◽  
Mirella Walker ◽  
Jonathan B. Freeman
2019 ◽  
Author(s):  
Nicholas Blauch ◽  
Marlene Behrmann ◽  
David C. Plaut

Humans are generally thought to be experts at face recognition, and yet identity perception for unfamiliar faces is surprisingly poor compared to that for familiar faces. Prior theoretical work has argued that unfamiliar face identity perception suffers because the majority of identity-invariant visual variability is idiosyncratic to each identity, and thus, each face identity must be learned essentially from scratch. Using a high-performing deep convolutional neural network, we evaluate this claim by examining the effects of visual experience in untrained, object-expert and face-expert networks. We found that only face training led to substantial generalization in an identity verification task of novel unfamiliar identities. Moreover, generalization increased with the number of previously learned identities, highlighting the generality of identity-invariant information in face images. To better understand how familiarity builds upon generic face representations, we simulated familiarization with face identities by fine-tuning the network on images of the previously unfamiliar identities. Familiarization produced a sharp boost in verification, but only approached ceiling performance in the networks that were highly trained on faces. Moreover, in these face-expert networks, the sharp familiarity benefit was seen only at the identity-based output layer, and did not depend on changes to perceptual representations; rather, familiarity effects required learning only at the level of identity readout from a fixed expert representation. Our results thus reconcile the existence of a large familiar face advantage with claims that both familiar and unfamiliar face identity processing depend on shared expert perceptual representations.


2018 ◽  
Vol 18 (10) ◽  
pp. 1080
Author(s):  
Joan Liu ◽  
Charles Or ◽  
Bruno Rossion

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Jo Lane ◽  
Emilie M. F. Rohan ◽  
Faran Sabeti ◽  
Rohan W. Essex ◽  
Ted Maddess ◽  
...  

2020 ◽  
Vol 39 (6) ◽  
pp. 1-14
Author(s):  
Yotam Nitzan ◽  
Amit Bermano ◽  
Yangyan Li ◽  
Daniel Cohen-Or

2007 ◽  
Vol 47 (4) ◽  
pp. 525-531 ◽  
Author(s):  
Fang Jiang ◽  
Volker Blanz ◽  
Alice J. O’Toole

2019 ◽  
Author(s):  
Kathryn Asher ◽  
Paul Peters

There are a variety of approaches to addressing meat overconsumption including forms of meat restriction that vary by the degree of reductions and the type of meat reduced. This study examines three such diets—a vegetarian diet, a reduced-meat diet, and a chicken-free diet—with a focus on the differences in the lived dietary experiences of their adherents. These lived experiences are operationalized using a variety of measures: satisfaction with food-related life, social ties, convenience, social/personal life, health, cost, motivation, identity, perception of prevalence rates, length of diet adherence, and the theory of planned behavior (intentions, attitudes, perceived behavioral control, and subjective norms). The data comes from an online survey of a cross-sectional, census-balanced sample of more than 30,0000 U.S. residents aged 18+ years sourced from Nielsen’s Harris Panel. The results showed meat reducers to be a larger group than previously suspected, with a third of American adults self-identifying as reducing their meat consumption, compared to one percent each who identify as a vegetarian or chicken avoider. The findings also demonstrated that a vegetarian diet had the strongest lived dietary experiences among American adults who are currently eating one of the meat-restricted diets. This research speaks to how the degree and type of meat restriction can impact an individual’s lived experience with their diet.


Sign in / Sign up

Export Citation Format

Share Document