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首页> 外文期刊>The quarterly journal of experimental psychology: QJEP >Natural scene recognition with increasing time-on-task: The role of typicality and global image properties
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Natural scene recognition with increasing time-on-task: The role of typicality and global image properties

机译:自然场景识别与增加的任务时间:典型性和全局图像属性的作用

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摘要

Human observers can recognize natural images very effectively. Yet, in the literature there is a debate about the extent to which the recognition of natural images requires controlled attentional processing. In the present study we address this topic by testing whether natural scene recognition is affected by mental fatigue. Mental fatigue is known to particularly compromise high-level, controlled attentional processing of local features. Effortless, automatic processing of more global features of an image stays relatively intact, however. We conducted a natural image categorization experiment (N = 20) in which mental fatigue was induced by time-on-task (ToT). Stimuli were images from 5 natural scene categories. Semantic typicality (high or low) and the magnitude of 7 global image properties were determined for each image in separate rating experiments. Significant performance effects of typicality and global properties on scene recognition were found, but, despite a general decline in performance, these effects remained unchanged with increasing ToT. The findings support the importance of the global property processing in natural scene recognition and suggest that this process is insensitive to mental fatigue.
机译:人类观察者可以非常有效地识别自然图像。然而,在文献中,关于自然图像的识别需要受控注意力处理的程度存在争议。在本研究中,我们通过测试自然场景识别是否受精神疲劳影响来解决此问题。众所周知,精神疲劳会特别损害局部特征的高级可控注意力处理。但是,毫不费力地自动处理图像的更多全局特征。我们进行了自然图像分类实验(N = 20),其中工作时间(ToT)导致了精神疲劳。刺激是来自5个自然场景类别的图像。在单独的评级实验中为每个图像确定了语义典型性(高或低)和7个全局图像属性的大小。发现典型性和全局属性对场景识别的显着性能影响,但是,尽管性能普遍下降,但这些影响随着ToT的增加而保持不变。这些发现支持了全局属性处理在自然场景识别中的重要性,并表明该过程对精神疲劳不敏感。

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