Psychological Sciences Research Institute and Institute of Neuroscience, University of Louvain, Louvain-la-Neuve, Belgium.
Université de Lorraine, CHRU-Nancy, Service de neurologie, F-54000, Nancy, France.
Behav Res Methods. 2018 Dec;50(6):2442-2460. doi: 10.3758/s13428-018-1023-x.
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 participants to match a target face photograph to either one or three of six face photographs presented simultaneously. We found that the percent accuracy on the BFRT-c (81%-83%) was below ceiling yet well above chance level, with little interindividual variance in this typical population sample, two important aspects of a sensitive clinical test. Although the split-half reliability on response accuracy was relatively low, due to the large variability in difficulty across items, the correct response times measured in this version-completed in 3 min, 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 outperformed male participants at the BFRT-c, especially for female faces. In general, performance was also lower following lighting changes than following head rotations, in line with previous studies that have emphasized participants' limited ability to match pictures of unfamiliar faces with important variations in illumination. Overall, this normative data set supports the validity of the BFRT-c as a key component of a battery of tests to identify clinical impairments in individual face recognition, such as observed in acquired prosopagnosia. However, this analysis strongly recommends that researchers consider the full test results: Beyond global indexes of performance based on accuracy rates only, they should consider the time taken to match individual faces as well as the variability in performance across items.
我们报告了一项大型(N=307)年轻成年参与者样本的规范数据,这些参与者使用经典本顿面部识别测试(BFRT)的长式计算机版本进行了测试(Benton & Van Allen,1968)。BFRT-c 要求参与者将目标面孔照片与同时呈现的六张面孔照片中的一张或三张进行匹配。我们发现,BFRT-c 的准确率(81%-83%)低于上限,但远高于偶然水平,在这个典型的人群样本中,个体间的差异很小,这是一个敏感的临床测试的两个重要方面。虽然基于反应准确性的两半可靠性相对较低,但由于项目之间的难度变化很大,在这个版本中测量的正确反应时间(平均在 3 分钟内完成)提供了在个体不熟悉面孔匹配方面的可靠和关键的性能补充衡量标准。与其他测量方法的先前观察结果一致,女性在 BFRT-c 上的表现优于男性参与者,尤其是在女性面孔方面。一般来说,光照变化后的表现也低于头部旋转后的表现,这与先前强调参与者有限能力将不熟悉面孔的图片与光照的重要变化进行匹配的研究一致。总体而言,这些规范数据支持 BFRT-c 作为识别个体面孔识别临床障碍的测试组合的关键组成部分的有效性,例如在获得性面孔失认症中观察到的障碍。然而,这种分析强烈建议研究人员考虑完整的测试结果:除了仅基于准确率的全球性能指标外,他们还应该考虑匹配单个面孔所需的时间以及项目之间的性能变化。