Russo Natalie, Hagmann Carl Erick, Andrews Rosemary, Black Conner, Silberman Magenta, Shea Nicole
Syracuse University, Department of Psychology, Syracuse, New York, United States of America.
Furmam University, Department of Neuroscience, Greenville, South Carolina, United States of America.
PLoS One. 2018 Feb 28;13(2):e0192906. doi: 10.1371/journal.pone.0192906. eCollection 2018.
Stimulus sets are valuable tools that can facilitate the work of researchers designing experiments. Images of faces, and line drawings of objects have been developed and validated, however, pictures of animals, that do not contain backgrounds, have not been made available. Here we present image agreement and quality ratings for a set of 640 color images of animals on a transparent background, across 60 different basic categories (e.g. cat, dog, frog, bird), some with few, and others with many exemplars. These images were normed on 302 participants. Image agreement was measured both with respect to the proportion of participants that provided the same name as well as the H-statistic for each image. Image quality was measured both overall, and with respect to the accuracy of participants' naming of the basic category. Word frequency of each basic and superordinate category based on the English Lexicon Project (Balota, et al., 2007) and the HAL database (Kucera & Francis, 1976) are provided as are Age of Acquisition (Kuperman, Stadthagen-Gonzalez, & Brysbaert, 2012) data.
刺激集是有价值的工具,可促进设计实验的研究人员的工作。面部图像和物体线条图已经得到开发和验证,然而,不包含背景的动物图片尚未提供。在此,我们展示了一组640张透明背景下动物的彩色图像的图像一致性和质量评级,这些图像涵盖60个不同的基本类别(如猫、狗、青蛙、鸟),有些类别示例较少,有些类别示例较多。这些图像在302名参与者中进行了标准化。图像一致性通过提供相同名称的参与者比例以及每张图像的H统计量来衡量。图像质量从总体上以及参与者对基本类别的命名准确性方面进行了测量。基于英语词汇项目(巴洛塔等人,2007年)和HAL数据库(库塞拉和弗朗西斯,1976年)提供了每个基本类别和上级类别的词频,以及习得年龄(库珀曼、斯塔德哈根 - 冈萨雷斯和布里斯巴特,2012年)数据。