Not so fast! Response times in the computerized Benton Face Recognition Test may not reflect face recognition ability.

IF 2.6 3区 心理学 Q2 PSYCHOLOGY
Joseph DeGutis, Xian Li, Bar Yosef, Maruti V Mishra
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Abstract

Response times (RTs) are commonly used to assess cognitive abilities, though it is unclear whether face processing RTs predict recognition ability beyond accuracy. In the current study, we examined accuracy and RT on a widely used face matching assessment modified to collect meaningful RT data, the computerized Benton Facial Recognition Test (BFRT-c), and measured whether RTs predicted face recognition ability and developmental prosopagnosia (DP) vs. control group membership. 62 controls and 36 DPs performed the BFRT-c as well as validated measures of face recognition ability: the Cambridge Face Memory Test (CFMT) and a Famous Faces Memory Test (FFMT). In controls, BFRT-c accuracy robustly predicted CFMT (r = .49, p < .001), FFMT (r = .43, p < .001), and a CFMT-FFMT composite (r = .54, p < .001), whereas BFRT-c RT was not significantly associated with these measures (all r's  .21). We also found that BFRT-c accuracy significantly differed between DPs and controls, but RT failed to differentiate the groups.

Abstract Image

Abstract Image

别着急!本顿电脑人脸识别测试的反应时间可能不能反映人脸识别能力。
反应时间(RTs)通常用于评估认知能力,尽管目前尚不清楚面部处理RTs是否能预测识别能力。在当前的研究中,我们检验了广泛使用的面部匹配评估的准确性和RT,该评估经过修改以收集有意义的RT数据,即计算机Benton面部识别测试(BFRT-c),并测量了RT是否预测了面部识别能力和发展性面孔失认症(DP)与对照组成员的关系。62名对照组和36名dp进行了BFRT-c测试,并验证了面部识别能力的测量方法:剑桥面部记忆测试(CFMT)和著名面孔记忆测试(FFMT)。在对照组中,BFRT-c准确度稳健地预测CFMT (r =。p p p
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来源期刊
Cognitive Neuropsychology
Cognitive Neuropsychology 医学-心理学
CiteScore
5.50
自引率
11.80%
发文量
23
审稿时长
>12 weeks
期刊介绍: Cognitive Neuropsychology is of interest to cognitive scientists and neuroscientists, neuropsychologists, neurologists, psycholinguists, speech pathologists, physiotherapists, and psychiatrists.
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