Indexter : A Computational Model of the Event-Indexing Situation Model for Characterizing Narratives
Indexter : A Computational Model of the Event-Indexing Situation Model for Characterizing Narratives
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Indexter：用于表征叙事的事件索引情景模型的计算模型
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
R. Young
中科院分区：
文献类型：
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作者：
R. E. Cardona;B. Cassell;Stephen G. Ware;R. Young
以前的叙事计算模型方法已经成功地考虑了叙事结构的内部连贯性。然而，叙述也是外部关注的，作者经常设计他们的故事以特定的方式影响用户。为了更好地描述观众在建模叙事过程中的特征，我们引入了Indexter：一个事件索引情境模型的计算模型，这是一个基于观众当前经历的事件来预测记忆中先前经历事件的显著性的认知框架。我们从基础的角度来看待叙事的计算模型，并认为突出性是理解的核心。如果一个特定的叙事现象可以用一个人的记忆中的显著性来表达，那么这个现象原则上在我们的模型中是可表征的。本文为我们的方法提供了基本的基础，作为未来工作的跳板，我们将利用这个模型来推理观众的心理状态，并产生旨在达到特定叙事效果的叙事寓言和话语。
Previous approaches to computational models of narrative have successfully considered the internal coherence of the narrative’s structure. However, narratives are also externally focused and authors often design their stories to affect users in specific ways. In order to better characterize the audience in the process of modeling narrative, we introduce Indexter: a computational model of the Event-Indexing Situation Model, a cognitive framework which predicts the salience of previously experienced events in memory based on the current event the audience is experiencing. We approach computational models of narrative from a foundational perspective, and feel that salience is at the core of comprehension. If a particular narrative phenomenon can be expressed in terms of salience in a person’s memory, the phenomenon, in principle, is representable in our model. This paper provides the fundamental bases of our approach as a springboard for future work which will use this model to reason about the audience’s mental state, and to generate narrative fabula and discourse intended to achieve a specific narrative effect.
阅读和电影理解的细分。
DOI：
10.1037/a0015305
发表时间：
2009
期刊：
Journal of experimental psychology. General
影响因子：
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作者：
Zacks,JeffreyM;Speer,NicoleK;Reynolds,JeremyR
通讯作者：
Reynolds,JeremyR