Dramatis: A Computational Model of Suspense
Dramatis: A Computational Model of Suspense
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Dramatis：悬念的计算模型
DOI：
10.1609/aaai.v28i1.8836
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Mark O. Riedl
中科院分区：
文献类型：
--
作者：
Brian O'Neill;Mark O. Riedl
我们介绍了一种悬疑的计算模型，它基于对悬疑现象的心理学定义的重新表述。在这种重新表述中，悬念与观众为主人公制定计划以避免即将到来的负面结果的能力相关。剧作家通过制定这样的计划并确定其感知的成功可能性来衡量悬念水平。我们报道了对戏剧的三种评价，包括戏剧输出与人类读者报告的悬念的比较，以及对戏剧成分的烧蚀测试。在这些研究中，我们发现剧作家的输出与人类读者对三个不同领域的故事的悬疑评分相对应。
We introduce Dramatis, a computational model of suspense based on a reformulation of a psychological definition of the suspense phenomenon. In this reformulation, suspense is correlated with the audience’s ability to generate a plan for the protagonist to avoid an impending negative outcome. Dramatis measures the suspense level by generating such a plan and determining its perceived likelihood of success. We report on three evaluations of Dramatis, including a comparison of Dramatis output to the suspense reported by human readers, as well as ablative tests of Dramatis components. In these studies, we found that Dramatis output corresponded to the suspense ratings given by human readers for stories in three separate domains.