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  1. How Does the Mind Render Streaming Experience as Events?Dare A. Baldwin &Jessica E. Kosie -2021 -Topics in Cognitive Science 13 (1):79-105.
    Events—the experiences we think we are having and recall having had—are constructed; they are not what actually occurs. What occurs is ongoing dynamic, multidimensional, sensory flow, which is somehow transformed via psychological processes into structured, describable, memorable units of experience. But what is the nature of the redescription processes that fluently render dynamic sensory streams as event representations? How do such processes cope with the ubiquitous novelty and variability that characterize sensory experience? How are event‐rendering skills acquired and how do (...) event representations change with development? This review considers emerging answers to these questions, beginning with evidence that an implicit tendency to monitor predictability structure via statistical learning is key to event rendering. That is, one way that the experience of bounded events (e.g., actions within behavior, words within speech) arises is with the detection of “troughs” in sensory predictability. Interestingly, such troughs in predictability are often predictable; these regions of predictable‐unpredictability provide articulation points to demarcate one event from another in representations derived from the actual streaming information. In our information‐optimization account, a fluent event‐processor predicts such troughs and selectively attends to them—while suppressing attention to other regions—as sensory streams unfold. In this way, usage of attentional resources is optimized for efficient sampling of the most relevant, information‐rich portions of the unfolding flow of sensation. Such findings point to the development of event‐processing fluency—whether in action, language, or other domains—depending crucially on rapid and continual cognitive reorganization. As knowledge of predictability grows, attention is adaptively redeployed. Accordingly, event experiences undergo continuous alteration. (shrink)
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  • Culture influences how people divide continuous sensory experience into events.Khena M. Swallow &Qi Wang -2020 -Cognition 205 (C):104450.
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  • Do doorways really matter: Investigating memory benefits of event segmentation in a virtual learning environment.Matthew R. Logie &David I. Donaldson -2021 -Cognition 209:104578.
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  • Bayesian Surprise Predicts Human Event Segmentation in Story Listening.Manoj Kumar,Ariel Goldstein,Sebastian Michelmann,Jeffrey M. Zacks,Uri Hasson &Kenneth A. Norman -2023 -Cognitive Science 47 (10):e13343.
    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 three stories, we used the probability distributions generated by GPT‐2 to compute the time series of (...) prediction error. We also asked participants to listen to these stories while marking event boundaries. We used regression models to relate the GPT‐2 measures to the human segmentation data. We found that event boundaries are associated with transient increases in Bayesian surprise but not with a simpler measure of prediction error (surprisal) that tracks, for each word in the story, how strongly that word was predicted at the previous time point. These results support the hypothesis that prediction error serves as a control mechanism governing event segmentation and point to important differences between operational definitions of prediction error. (shrink)
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  • Differential influence of first- vs. third-person visual perspectives on segmentation and memory of complex dynamic events.M. C. Allé,F. Danan,S. C. Kwok,V. Davies,C. Prudat &F. Berna -2023 -Consciousness and Cognition 111 (C):103508.
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