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视觉复杂性与情感:评分反映的内容比表面看到的更多。

Visual Complexity and Affect: Ratings Reflect More Than Meets the Eye.

作者信息

Madan Christopher R, Bayer Janine, Gamer Matthias, Lonsdorf Tina B, Sommer Tobias

机构信息

Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

School of Psychology, University of Nottingham, Nottingham, United Kingdom.

出版信息

Front Psychol. 2018 Jan 18;8:2368. doi: 10.3389/fpsyg.2017.02368. eCollection 2017.

Abstract

Pictorial stimuli can vary on many dimensions, several aspects of which are captured by the term 'visual complexity.' Visual complexity can be described as, "a picture of a few objects, colors, or structures would be less complex than a very colorful picture of many objects that is composed of several components." Prior studies have reported a relationship between affect and visual complexity, where complex pictures are rated as more pleasant and arousing. However, a relationship in the opposite direction, an effect of affect on visual complexity, is also possible; emotional arousal and valence are known to influence selective attention and visual processing. In a series of experiments, we found that ratings of visual complexity correlated with affective ratings, and independently also with computational measures of visual complexity. These computational measures did not correlate with affect, suggesting that complexity ratings are separately related to distinct factors. We investigated the relationship between affect and ratings of visual complexity, finding an 'arousal-complexity bias' to be a robust phenomenon. Moreover, we found this bias could be attenuated when explicitly indicated but did not correlate with inter-individual difference measures of affective processing, and was largely unrelated to cognitive and eyetracking measures. Taken together, the arousal-complexity bias seems to be caused by a relationship between arousal and visual processing as it has been described for the greater vividness of arousing pictures. The described arousal-complexity bias is also of relevance from an experimental perspective because visual complexity is often considered a variable to control for when using pictorial stimuli.

摘要

图像刺激可以在多个维度上变化,其中几个方面可以用“视觉复杂性”这个术语来描述。视觉复杂性可以描述为:“由几个物体、颜色或结构组成的图片比由多个组件组成的色彩丰富的许多物体的图片更简单。”先前的研究报告了情感与视觉复杂性之间的关系,其中复杂的图片被评为更令人愉悦和更能引起兴奋。然而,相反方向的关系,即情感对视觉复杂性的影响,也是可能的;已知情绪唤起和效价会影响选择性注意和视觉处理。在一系列实验中,我们发现视觉复杂性评分与情感评分相关,并且独立地也与视觉复杂性的计算指标相关。这些计算指标与情感不相关,这表明复杂性评分与不同的因素分别相关。我们研究了情感与视觉复杂性评分之间的关系,发现“唤起-复杂性偏差”是一种稳健的现象。此外,我们发现当明确指出时,这种偏差可以减弱,但与情感处理的个体差异测量不相关,并且在很大程度上与认知和眼动追踪测量无关。综上所述,唤起-复杂性偏差似乎是由唤起与视觉处理之间的关系引起的,正如对唤起性图片的更高生动性所描述的那样。从实验的角度来看,所描述的唤起-复杂性偏差也具有相关性,因为在使用图像刺激时,视觉复杂性通常被视为一个需要控制的变量。

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