The current study evaluated whether a computer‐based training program could improve observers' accuracy in scoring discrete instances of problem behavior at 5x normal speed using a multiple‐baseline design across subjects. During pretraining and posttraining, observers attempted to score multiple examples of problem behavior at 5.0x without feedback. During training, participants scored multiple examples of problem behavior at 5.0x with automated feedback. Researchers measured omission (missing problem behavior) and commission (scoring other behavior as problem behavior) errors and the total duration of scoring time to determine the observers' accuracy and efficiency, respectively. After training, all participants scored instances of problem behavior with less than 11% error using 5.0x. The time required to score the videos across 90‐min observations was reduced by 66%. Results extend previous evaluations of fast forwarding by demonstrating that the training program could be used to teach observers to accurately score problem behavior using a speed faster than 3.5x.

中文翻译：

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基于计算机的培训，教观察员使用 5 倍正常速度的快进准确评分问题行为

当前的研究使用跨学科的多基线设计评估了基于计算机的培训计划是否可以提高观察者在以 5 倍正常速度对问题行为的离散实例进行评分时的准确性。在训练前和训练后期间，观察者试图在没有反馈的情况下以 5.0 倍对多个问题行为示例进行评分。在培训期间，参与者通过自动反馈以 5.0 倍的速度对多个问题行为示例进行评分。研究人员测量遗漏（遗漏问题行为）和委托（将其他行为评分为问题行为）错误和评分时间的总持续时间，以分别确定观察者的准确性和效率。训练后，所有参与者都使用 5.0x 对错误行为的实例进行评分，错误率低于 11%。在 90 分钟的观察中为视频评分所需的时间减少了 66%。结果扩展了先前对快进的评估，证明该训练计划可用于教观察者使用快于 3.5 倍的速度准确地对问题行为进行评分。