Sadralodabai T, Sorkin R D
Department of Psychology, University of Florida, Gainesville 32611, USA.
J Acoust Soc Am. 1999 Jan;105(1):358-65. doi: 10.1121/1.424554.
Two experiments investigated how listeners allocate their attention to different segments of a temporal pattern. The experiments allowed a direct test of the predictions of the Proportion of Total Duration (PTD) rule and the Component Relative Entropy (CoRE) model. Listeners had to decide whether two sequences of nine tones had the same or different temporal patterns (tone duration = 25 ms, tone frequency = 1000 Hz). A sequence's temporal pattern was determined by the time intervals between each tone's offset and the next tone's onset. On same trials, the time intervals at corresponding temporal positions in the two sequences were identical. On different trials, the corresponding time intervals were randomly varied. Listener attention to different temporal positions within a sequence was assessed by calculating the decision weights at each position. The results supported the CoRE model and were inconsistent with the PTD rule. Manipulating the mean of the time intervals within the sequence had no consistent effect on the pattern of weights (or on overall performance), indicating that listener attention was not affected by either the proportion of total duration or the perceptual salience of a longer or shorter time interval. However, manipulating the variance of the time intervals had a significant effect: the highest weight was given to the highest variance segment. This weighting strategy leads to better performance because higher variance segments are more diagnostic of whether the sequences are the same or different.
两项实验研究了听众如何将注意力分配到时间模式的不同片段上。这些实验对总时长比例(PTD)规则和成分相对熵(CoRE)模型的预测进行了直接测试。听众必须判断由九个音调组成的两个序列是否具有相同或不同的时间模式(音调时长 = 25毫秒,音调频率 = 1000赫兹)。一个序列的时间模式由每个音调的结束与下一个音调的开始之间的时间间隔决定。在相同试验中,两个序列中相应时间位置的时间间隔是相同的。在不同试验中,相应的时间间隔随机变化。通过计算每个位置的决策权重来评估听众对序列内不同时间位置的注意力。结果支持了CoRE模型,与PTD规则不一致。操纵序列内时间间隔的平均值对权重模式(或整体表现)没有一致的影响,这表明听众的注意力不受总时长比例或较长或较短时间间隔的感知显著性的影响。然而,操纵时间间隔的方差有显著影响:最高权重被赋予方差最高的片段。这种加权策略导致更好的表现,因为方差较高的片段对于判断序列是否相同更具诊断性。