Facial Recognition Test

2018 ◽  
pp. 1384-1386
Author(s):  
Uraina S. Clark
Keyword(s):  
Recognition Test ◽  
Facial Recognition

scholarly journals Developmental prosopagnosia and the Benton Facial Recognition Test

Neurology ◽  
2004 ◽  
Vol 62 (7) ◽  
pp. 1219-1220 ◽  
Author(s):  
Bradley C. Duchaine ◽  
Ken Nakayama
Keyword(s):  
Recognition Test ◽  
Facial Recognition ◽  
Benton Facial Recognition Test

scholarly journals Neuroanatomical correlates of the Benton Facial Recognition Test and Judgment of Line Orientation Test

2009 ◽  
Vol 31 (2) ◽  
pp. 219-233 ◽  
Author(s):  
Daniel Tranel ◽  
Eduardo Vianna ◽  
Kenneth Manzel ◽  
Hanna Damasio ◽  
Thomas Grabowski
Keyword(s):  
Recognition Test ◽  
Facial Recognition ◽  
Line Orientation ◽  
Benton Facial Recognition Test ◽  
Orientation Test

An update of the Benton Facial Recognition Test

2021 ◽  
Author(s):  
Ebony Murray ◽  
Rachel Bennetts ◽  
Jeremy Tree ◽  
Sarah Bate
Keyword(s):  
Recognition Test ◽  
Facial Recognition ◽  
Benton Facial Recognition Test

Low scores on the Benton Facial Recognition Test associated with vertebrobasilar insufficiency

2013 ◽  
Vol 80 (5) ◽  
pp. 527-529
Author(s):  
Abdulkadir Koçer ◽  
Emel Koçer ◽  
Halit Beşir ◽  
Süber Dikici ◽  
Füsun Domaç ◽  
...  
Keyword(s):  
Recognition Test ◽  
Facial Recognition ◽  
Vertebrobasilar Insufficiency ◽  
Benton Facial Recognition Test

scholarly journals Normative data for accuracy and response times at the computerized Benton Facial Recognition Test (BFRT-c)

2017 ◽  
Author(s):  
Bruno Rossion ◽  
Caroline Michel
Keyword(s):  
Recognition Test ◽  
Normative Data ◽  
Response Times ◽  
Facial Recognition ◽  
Population Sample ◽  
Clinical Test ◽  
Data Set ◽  
Large Variability ◽  
Benton Facial Recognition Test ◽  
Accuracy Rates

We report normative data from a large (N=307) sample of young adult participants tested with a computerized version of the long form of the classical Benton Facial Recognition Test (BFRT; Benton & Van Allen, 1968). The BFRT-c requires to match a target face photograph to one or three of 6 face photographs simultaneously presented. Percent accuracy at the BFRT-c (81%-83%) is below ceiling yet well above chance level, with little interindividual variance in this typical population sample, as expected from a sensitive clinical test. While split-half reliability on accuracy rates is relatively low due to the large variability in difficulty across items, correct response times (RTs) measured in this version – completed in 3 minutes on average - provide a reliable and critical complementary measure of performance at individual unfamiliar face matching. In line with previous observations from other measures, females outperform male participants at the BFRT-c, especially for female faces. In general, performance is also lower following lighting changes than head rotations, in line with previous studies emphasizing limited ability at matching pictures of unfamiliar faces with important variations in lighting direction. Overall, this normative data set supports the validity of the BFRT-c as a key component of a battery of tests identifying clinical impairments at individual face recognition such as observed in acquired prosopagnosia. However, beyond global indexes of performance based on accuracy rates only, this analysis strongly recommends full consideration of the time taken to match individual faces as well as the variability in performance across items.

scholarly journals Bayesian regression-based developmental norms for the Benton Facial Recognition Test in males and females

2020 ◽  
Vol 52 (4) ◽  
pp. 1516-1527
Author(s):  
Leah A. L. Wang ◽  
John D. Herrington ◽  
Birkan Tunç ◽  
Robert T. Schultz
Keyword(s):  
Recognition Test ◽  
Facial Recognition ◽  
Bayesian Regression ◽  
Benton Facial Recognition Test ◽  
Males And Females ◽  
Developmental Norms
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