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Detecting temporal misorderings requires more effort than detecting the misordered actions

机译:与检测错误的动作相比,检测暂时的错误需要更多的精力

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Previous research has emphasized the importance of automatic prediction and error detection in event perception (e.g., Zacks 2007). However, we have previously demonstrated that individuals have difficulty detecting out-of-order actions embedded within familiar events, calling into question the use of moment-to-moment predictions in understanding these events. In this experiment, we tested whether detecting misorderings is especially dependent on effortful processing by investigating the effects of an interfering task on both the ability to detect misordered actions and to detect the presence of a previously viewed action. Participants watched videos (consisting of a series of eight to fourteen different shots, with each shot lasting an average of 820 ms) of actors performing everyday activities that either did or did not contain a misordered action (for example, a shot of an object being used before a shot of it being picked up). Half of the participants were instructed to look for misorderings. The other half viewed a clip of an action immediately before each video, and were instructed to press a key when they saw the action appear in the subsequent video. For trials with misordered events, this action was always out of order. Additionally, all participants were instructed to engage in a verbal counting task for half the trials. When instructed to look for misorderings, the interference task significantly lowered detection of misordered events without increasing false alarm rates. The interference task, however, did not lessen the detection of clips within misordered videos. Interestingly, even though participants were able to successfully identify the target clip, which was misordered in half the trials, incidental detection of the misordering itself was very rare. These results suggest that sequence prediction and error detection requires substantial cognitive effort.
机译:先前的研究强调了事件感知中自动预测和错误检测的重要性(例如Zacks 2007)。但是,我们之前已经证明,个人很难检测到嵌入在熟悉事件中的乱序行为,这使人们在理解这些事件时使用瞬间矩预测产生了疑问。在本实验中,我们通过调查干扰任务对检测错误操作的能力和检测先前查看的操作的能力的影响,来测试检测错误的命令是否特别依赖于费力的处理。参与者观看了演员执行日常活动的视频(由八到十四个不同的镜头组成,每个镜头平均持续820毫秒),这些动作包含或不包含错误动作(例如,拍摄物体的镜头)在拍摄镜头前使用)。一半的参与者被指示寻找失序。另一半观看了每个视频之前的一个动作剪辑,并指示他们看到该动作出现在后续视频中时按一个键。对于事件错乱的审判,此操作始终是混乱的。此外,还指示所有参与者进行一半的口头计数任务。当指示查找错误顺序时,干扰任务会显着降低对错误顺序事件的检测,而不会增加误报率。但是,干扰任务并不会减少对错误视频中的剪辑的检测。有趣的是,即使参与者能够成功地识别出目标片段,该片段在试验的一半中都错位了,但偶然发现错位本身的情况却很少。这些结果表明序列预测和错误检测需要大量的认知努力。

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