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Bayesian Surprise Predicts Human Event Segmentation in Story Listening

2022-09-26

Abstract excerpt

<p>Event segmentation theory posits that people segment continuous experience into discrete events, and that event boundaries occur when there are large transient increases in prediction error. Here, we set out to test this theory in the context of story listening, by using a deep learning language model (GPT-2) to compute the predicted probability distribution of the next word, at each point in the story. For thr...

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Literature Corpus work
eb7114d2-903d-5521-9bdf-47228215c200
DOI
10.31234/osf.io/qd2ra
Open publication

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Bayesian Surprise Predicts Human Event Segmentation in Story ListeningDOI 10.31234/osf.io/qd2ra
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