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Encoding of event roles from visual scenes is rapid spontaneous and interacts with higher-level visual processing

机译:视觉场景中事件角色的编码是快速自发的并且可以与更高级别的视觉处理进行交互

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摘要

A crucial component of event recognition is understanding event roles, i.e. who acted on whom: boy hitting girl is different from girl hitting boy. We often categorize Agents (i.e. the actor) and Patients (i.e. the one acted upon) from visual input, but do we rapidly and spontaneously encode such roles even when our attention is otherwise occupied? In three experiments, participants observed a continuous sequence of two-person scenes and had to search for a target actor in each (the male/female or red/blue-shirted actor) by indicating with a button press whether the target appeared on the left or the right. Critically, although role was orthogonal to gender and shirt color, and was never explicitly mentioned, participants responded more slowly when the target’s role switched from trial to trial (e.g., the male went from being the Patient to the Agent). In a final experiment, we demonstrated that this effect cannot be fully explained by differences in posture associated with Agents and Patients. Our results suggest that extraction of event structure from visual scenes is rapid and spontaneous.
机译:事件识别的重要组成部分是了解事件角色,即谁对谁采取了行动:男孩打女孩不同于男孩打女孩。我们经常根据视觉输入对特工(即演员)和患者(即被操作者)进行分类,但是即使我们的注意力集中在其他地方,我们也能快速,自发地编码这些角色吗?在三个实验中,参与者观察到连续的两人场景序列,并且必须通过按按钮指示目标是否出现在左侧来在每个场景中寻找目标演员(男/女或红/蓝衬衫的演员)或正确的。至关重要的是,尽管角色与性别和衬衫的颜色正交,并且从未明确提及,但是当目标的角色从一个试验转到另一个试验(例如,男性从成为患者到特工)时,参与者的响应速度就会变慢。在最后的实验中,我们证明了无法通过与特工和患者相关的姿势差异完全解释这种效果。我们的结果表明,从视觉场景中提取事件结构是快速而自发的。

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