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Relevance ratings and salience categorizations for objects in a set of 80 pictures

机译:一组80张图片中对象的相关性等级和显着性分类

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In this study, we provide normative data for objects in a set of 80 digital color pictures (e.g., nature scenes, human activities, cartoon characters, magazine covers). In Experiment 1, four objects in each picture were rated by 48 observers on a 6-point Likert scale for their relevance to the overall meaning of the scene. In Experiment 2, Salience Toolbox software (Walther & Koch, 2006) provided additional information about whether the four relevance-rated objects were located in areas that were high or low in visual salience. Brief descriptions of the four objects, their locations in the picture, their categorizations as high or low in salience, the means and standard deviations of their relevance ratings, and statistical analyses specifying which pairs of objects in a picture differed significantly on their relevance to the meaning of the scene are given in the Appendix. An example is provided of how the pictures could be used to create stimuli for a change blindness task in which detection of item onset versus offset is contrasted for low-relevance and high-relevance features. The 80 pictures are accessible as jpg files from the first author’s Web site at http://marcellm.people.cofc.edu/research.htm.
机译:在这项研究中,我们提供了80套数字彩色图片(例如自然场景,人类活动,卡通人物,杂志封面)中对象的规范数据。在实验1中,每位图片中的四个对象都由48位观察者以6点李克特量表进行了评分,因为它们与场景的整体含义相关。在实验2中,Salience Toolbox软件(Walther&Koch,2006年)提供了有关四个相关性等级的对象位于视觉显着性高还是低的区域的附加信息。对这四个对象的简要说明,它们在图片中的位置,显着性的高低分类,它们的相关性等级的均值和标准偏差以及统计分析,指定图片中哪些对象对与它们的相关性显着不同场景的含义在附录中给出。提供了一个示例,说明如何将图片用于更改盲目的任务的刺激,其中针对低关联性和高关联性特征对比了项目开始与偏移的检测。可以从第一作者的网站http://marcellm.people.cofc.edu/research.htm以jpg文件的形式访问这80张图片。

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