研究审美吸引力等级的用户协议及其与技术知识的关系

Pierre R. Lebreton, A. Raake, M. Barkowsky
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引用次数: 3

摘要

在本文中,我们进行了一个涉及不同小组参与者的众包实验。本研究的目的是评估一个图像对另一个图像的偏好与参与者的摄影知识之间的关系。在之前的研究中,我们发现“主体存在”和“曝光”这两个判别性评价概念可以区分不同程度的摄影知识组参与者。当被要求对绝对类别进行评分时,这些小组中的每一个都提供了不同的审美吸引力评分方式。本论文通过研究一组图像对的偏好评级作为技术知识的函数来扩展先前的工作,更具体地说,增加了对评级和参与者之间协议方差的关注。所进行的研究由两个不同的步骤组成,参与者必须首先报告他们对一幅图像的偏好(配对比较),并使用一组特定的图像评估参与者的技术背景。根据偏好评级模式确定了参与者的分组。这些小组是由一组看到并分享对图片的相同偏好评级的参与者和另一组对其他参与者的不一致的参与者组成的。每组分析表明,当参与者具有技术知识时,可以观察到参与者之间的高度一致性。这表明在招募专家用户时,参与者之间的一致性较高,因此在图像审美吸引力评价中,应仔细选择参与者,以确保结果稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studying user agreement on aesthetic appeal ratings and its relation with technical knowledge
In this paper, a crowdsourcing experiment was conducted involving different panels of participants. The aim of this study is to evaluate how the preference of one image over another one is related with the knowledge of the participant in photography. In previous work the two discriminant evaluation concepts “presence of a main subject” and “exposure” were found to distinguish group participants with different degrees of knowledge in photography. Each of these groups provided different means of aesthetic appeal ratings when asked to rate on an absolute category scale. The present paper extends previous work by studying preference ratings on a set of image pairs as a function of technical knowledge and more specifically adding a focus on the variance of rating and agreement between participants. The conducted study was composed of two different steps where the participants had to first report their preference of one image over another (paired comparison), and an evaluation of the technical background of the participant using a specific set of images. Based on preference-rating patterns groups of participants were identified. These groups were formed by clustering the participants who saw and shared the same preference rating on images in one group, and the participants with low agreement with other participants in another group. A per-group analysis showed that a high agreement between participants could be observed when participants have technical knowledge. This indicates that higher consistency between participants can be reached when expert users are being recruited, and therefore participants should be carefully selected in image aesthetic appeal evaluation to ensure stable results.
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