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Appraising the role of visual threat in speeded detection and classification tasks

机译:评估视觉威胁在加快检测和分类任务中的作用

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摘要

This research examines the speeded detection and, separately, classification of photographic images of animals. In the initial experiments each display contained various images of animals and, in the detection task, participants responded whether a display contained only images of birds or also included an oddball target image of a cat or dog. In the classification search task, a target was always present and participants classified this as an image of a cat or a dog. Half of the target images depicted the animal in a non-threatening state and the remaining half images depicted the animal in a threatening state. A complex pattern of effects emerged showing some evidence of more efficient detection of a threatening than non-threatening target. No corresponding pattern emerged in the data for the classification task. Next the tasks were repeated when the stimuli were more carefully matched in terms of general pose and salience of facial features. Now the effects in the detection task were reduced but more consistent than before. Threatening targets were more readily detected than non-threatening targets. In addition, non-threatening targets were more readily classified than threatening targets. The nature of these effects appears to reflect decisional/response mechanisms and not search processes. The performance benefit for the non-threatening images was replicated in a final classification task in which, on each trial, only a single peripheral image was presented. The results demonstrate that a number of different affective and perceptual factors can influence performance in speeded search tasks and these may well be confounded with the variation in threat content of the experimental stimuli. The evidence for the automatic detection of visual threat remains illusive.
机译:这项研究检查了动物的摄影图像的快速检测和分类。在最初的实验中,每个显示器都包含各种动物图像,在检测任务中,参与者回答显示器是否仅包含鸟类图像或还包含猫或狗的奇异目标图像。在分类搜索任务中,始终存在目标,参与者将其分类为猫或狗的图像。目标图像的一半描绘了处于非威胁状态的动物,其余一半图像描绘了处于威胁状态的动物。出现了复杂的效应模式,显示出比非威胁目标更有效地检测威胁目标的一些证据。分类任务的数据中没有出现相应的模式。接下来,当在总体姿势和面部特征显着性方面更仔细地匹配刺激时,重复执行任务。现在,检测任务中的影响已减少,但比以前更加一致。与非威胁目标相比,更容易检测到威胁目标。此外,非威胁目标比威胁目标更容易分类。这些影响的性质似乎反映了决策/响应机制,而不是搜索过程。在最终分类任务中复制了非威胁性图像的性能优势,其中在每个试验中,仅显示单个外围图像。结果表明,许多不同的情感和知觉因素可以影响快速搜索任务的性能,而这些因素很可能与实验刺激的威胁内容的变化相混淆。自动检测视觉威胁的证据仍然不明确。

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