The utility of multiple synthesised views in the recognition of unfamiliar faces

The current data (SJDDMB_Experiment1_2. xlsx) from two experiments are reported in two tabs. In both tabs data are averaged across trials and participants are organized by rows. For Experiment 1, the first two columns (A & B) represent participant demographics (Age & Gender). The following four columns represent a mean accuracy (i.e., proportion correct) score for each of the four experimental conditions reported in the paper. Scoring a correct answer as 1 and an incorrect answer as 0 and then averaging scores across trials gave a mean accuracy. The experimental conditions comprised computer-generated views created from a single original image (Synthesised Views), the target image alone (Original image), a single test image that displayed a face at the test angle (Test image) and multiple photograph views (Photographic Views). The second measure reported is a confidence-accuracy (CA) score. The CA score was calculated by multiplying accuracy (negatively scored for incorrect answers so 1 = correct and −1 = incorrect) by the confidence score (1: “Not at all confident”, 7:“Extremely confident”, minus 0.5) giving a score between −6.5 and +6.5 in 13 equal steps. Data are again averaged across trials and reported for each experimental condition. The data are organized in a similar fashion for Experiment 2 with the addition of a Distractor column. This column indicates if a participant was shown a distractor face before test. Results derived from these data are published in the Quraterly Journal fo Experimental Psychology at http://dx.doi.org/10.1080/17470218.2016.1158302 . These experiments explored how introducing multiple views of an individual enhanced later identification. Some of these multiple views were taken as photographs and some were artificially generated.

当前数据（SJDDMB_Experiment1_2.xlsx）包含两项实验的结果，分别记录在两个工作表标签中。两个标签中的数据均已跨试次取平均值，且参与者按行组织。

实验1中，前两列（A列和B列）代表参与者的人口统计学特征（年龄和性别）。后续四列则对应论文中报告的四种实验条件下的平均准确率（即正确比例）得分。平均准确率的计算方式为：将正确答案计为1，错误答案计为0，随后跨试次对得分取平均值。实验条件包括：基于单张原始图像生成的计算机视图（合成视图）、仅呈现目标图像（原始图像）、展示测试角度人脸的单张测试图像（测试图像），以及多张照片视图（照片视图）。报告的第二项指标是信心-准确率（CA）得分。CA得分的计算是将准确率（错误答案计为负分，即正确=1，错误=-1）乘以信心得分（1表示“完全不自信”，7表示“极度自信”，并减去0.5），最终得分范围为-6.5至+6.5，分为13个等步长区间。数据同样跨试次取平均值，并按各实验条件报告。

实验2的数据组织方式与之类似，但新增了一列干扰项（Distractor）。该列标识参与者在测试前是否观看过干扰人脸。

基于这些数据得到的结果已发表于《实验心理学季刊》（Quarterly Journal of Experimental Psychology），DOI为http://dx.doi.org/10.1080/17470218.2016.1158302。这些实验旨在探究呈现个体的多视图如何提升后续的识别表现。