The presence of interesting and compelling characters is an essential component of effective narrative. Well-developed characters have features that enable them to significantly enhance the believability and quality of a story. In this paper, we describe the results of an experiment to evaluate a planning-based narrative generation system that focuses on the generation of stories that express character. The system is designed to automatically produce narratives that show character personality traits through the choices characters make when selecting the means by which they achieve their goals. Results from our study support the hypothesis that an audience presented with stories generated by Mask will attribute personality traits to the story characters that have significant correlation with the computational model of personality used to drive the characters' choices.
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机译：有趣和令人信服的角色的存在是有效叙事的重要组成部分。发达的角色具有使他们能够显着提高故事的可信度和质量的功能。在本文中，我们描述了一个实验结果，以评估基于计划的叙事生成系统，专注于表达特征的故事。 The system is designed to automatically produce narratives that show character personality traits through the choices characters make when selecting the means by which they achieve their goals.我们的研究结果支持假设，其中包含由掩模生成的故事的观众将性格特征归因于与用于驱动字符选择的人格的计算模型具有重要相关性的故事字符。
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