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Let Your Eyes Predict: Prediction Accuracy of Pupillary Responses to Random Alerting and Neutral Sounds

机译:让您的眼睛预测:对随机警报和中性声音的瞳孔反应的预测准确性

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This study investigates the prediction accuracy of anticipatory pupil dilation responses in humans prior to the random presentation of alerting or neutral sounds. The aim of this study was to test the hypothesis that the autonomous nervous system may react prior to the presentation of random stimuli. A total of 80 participants, who were matched according to gender to take into account individual differences, were asked to listen to a random sequence of 10 neutral and 10 alerting sounds. Their pupil dilation was continuously recorded and the diameter of their pupils was used to predict the category of sound, alerting, or neutral. The pupil dilation of both males and females predicted alerting sounds approximately 10% more accurately than would be expected by chance, whereas neutral sounds were predicted at the chance level. This result was confirmed using a frequentist and a Bayesian statistical approach. Following the results of the study, practical and theoretical implications of these results are discussed.
机译:这项研究调查了随机发出警报或中性声音之前人类预期的瞳孔扩张反应的预测准确性。这项研究的目的是检验以下假设:自主神经系统在出现随机刺激之前可能会发生反应。共有80名参与者根据性别进行了匹配,以考虑到个体差异,被要求听取10种中性声音和10种警报声音的随机序列。他们的瞳孔扩张被连续记录,并且他们的瞳孔直径被用来预测声音,警觉或中性的类别。男性和女性的瞳孔扩张预测的警报声音比偶然预期的准确度高出约10%,而中性声音则在偶然的水平上预测。使用常客和贝叶斯统计方法证实了这一结果。根据研究结果,讨论了这些结果的实践和理论意义。

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