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Auditory categories with separable decision boundaries are learned faster with full feedback than with minimal feedback (L)

机译:具有可分离判定边界的听觉类别更快地学习,完全反馈比最小反馈(L)

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摘要

During visual category learning, full feedback (e.g., "Wrong, that was a category 4."), relative to minimal feedback (e.g., "Wrong."), enhances performance when the relevant dimensions are separable. This pattern is reversed with inseparable dimensions. Here, the interaction between trial-by-trial feedback and separability of dimensions in the auditory domain is examined. Participants were trained to categorize auditory stimuli along separable or inseparable dimensions. One group received full feedback, while the other group received minimal feedback. In the separable-dimensions condition, the full-feedback group achieved higher accuracy than did the minimal-feedback group. In the inseparable-dimensions condition, performance was equivalent across the feedback groups. These results altogether suggest that trial-by-trial feedback affects auditory category learning performance differentially for separable and inseparable categories. (C) 2016 Acoustical Society of America.
机译:在视觉类别学习期间,相对于最小反馈(例如,“错误”),完整反馈(例如,“错误,即”)“)”),在相关尺寸可分离时增强性能。 使用不可分割的尺寸反转此模式。 这里,检查了试验反馈之间的相互作用和听觉域中的尺寸的可分离性。 参与者培训沿着可分离或不可分割的尺寸对听觉刺激进行分类。 一组收到完整的反馈,而另一组接收了最小的反馈。 在可分离尺寸条件下,全反馈组实现比最小反馈组更高的精度。 在不可分离的维度条件下,性能等同于反馈组。 这些结果完全建议,试验反馈对可分离和不可分割的类别差异影响听觉类别的学习表现。 (c)2016年声学学会。

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