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Classification Videos Reveal the Visual Information Driving Complex Real-World Speeded Decisions

机译:分类视频揭示了视觉信息驱动复杂的现实世界中的快速决策

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摘要

Humans can rapidly discriminate complex scenarios as they unfold in real time, for example during law enforcement or, more prosaically, driving and sport. Such decision-making improves with experience, as new sources of information are exploited. For example, sports experts are able to predict the outcome of their opponent's next action (e.g., a tennis stroke) based on kinematic cues “read” from preparatory body movements. Here, we explore the use of psychophysical classification-image techniques to reveal how participants interpret complex scenarios. We used sport as a test case, filming tennis players serving and hitting ground strokes, each with two possible directions. These videos were presented to novices and club-level amateurs, running from 0.8 s before to 0.2 s after racquet-ball contact. During practice, participants anticipated shot direction under a time limit targeting 90% accuracy. Participants then viewed videos through Gaussian windows (“bubbles”) placed at random in the temporal, spatial or spatiotemporal domains. Comparing bubbles from correct and incorrect trials revealed how information from different regions contributed toward a correct response. Temporally, only later frames of the videos supported accurate responding (from ~0.05 s before ball contact to 0.1 s afterwards). Spatially, information was accrued from the ball's trajectory and from the opponent's head. Spatiotemporal bubbles again highlighted ball trajectory information, but seemed susceptible to an attentional cuing artifact, which may caution against their wider use. Overall, bubbles proved effective in revealing regions of information accrual, and could thus be applied to help understand choice behavior in a range of ecologically valid situations.
机译:人类可以实时辨别复杂的场景,例如在执法过程中或更通常是在驾驶和运动时,它们会实时展现出来。随着新信息的开发,这种决策将随着经验的增长而改善。例如,运动专家能够基于从预备身体运动中“读取”的运动线索来预测对手的下一个动作(例如,网球击)的结果。在这里,我们探索心理心理分类图像技术的使用,以揭示参与者如何解释复杂的场景。我们以运动为测试用例,拍摄了发球和击球的网球运动员,每个都有两个可能的方向。这些视频是向新手和俱乐部一级的业余爱好者展示的,时间从球拍接触前的0.8秒到球拍接触后的0.2秒。在练习过程中,参与者希望在规定90%准确度的时间限制内进行射击。然后,参与者通过随机放置在时间,空间或时空域中的高斯窗口(“气泡”)观看视频。比较来自正确和不正确试验的泡沫,发现来自不同地区的信息如何有助于正确做出反应。暂时地,只有视频的后续帧才支持准确的响应(从接触球之前的〜0.05 s到之后的0.1 s)。在空间上,信息是从球的轨迹和对手的头部累积的。时空气泡再次突出显示了球的轨迹信息,但似乎容易受到注意力提示伪像的影响,这可能会警告不要广泛使用它们。总体而言,泡沫被证明可以有效地揭示应计信息区域,因此可以用来帮助理解在一系列生态有效情况下的选择行为。

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