课题基金 / 基金详情

HCC: Small: Collaborative Research: Integrating Cognitive and Computational Models of Narrative

HCC: Small: Collaborative Research: Integrating Cognitive and Computational Models of Narrative
HCC:小型:协作研究:整合叙事的认知和计算模型
批准号:
1654651
负责人:
Robert Young
金额:
$11.53万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-16 至 2017-07-31

项目摘要

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中文摘要
翻译
本研究的主要目标是开发新的、认知信息的计算模型,在三维虚拟环境中讲述叙事的生成。在叙事结构的理论模型和叙事理解的心理模型的推动下,将开发出创建事件序列的描述以及将其传达给用户所需的技术。这些技术将使用这些模型来寻找在传达潜在事件结构时既连贯又有效的叙述。该项目将探索人们在体验电影或电影时的心理过程的计算模型如何为用于生成电影本身的自动过程提供信息。广泛的实证研究将为模型的有效性提供一个全面的评价。本研究主要有三个重点:(1)将人物计划的生成模型与叙事理论结构模型相结合,创造出既能反映丰富的人物目标结构又能反映可识别的叙事元素的故事情节。(2)开发基于语言交际语用模型的镜头序列选择方法,有效传达人物的计划和目标。(3)开发并评估一个整合这些部分的系统,以寻找既连贯又有效的叙述。该项目将通过在广泛的多学科领域(计算机科学、认知科学和心理学)培训新的研究人员(研究生研究助理),为科学和教育的基础设施作出贡献。这些新的研究人员将从该项目中获得对贡献学科的独特综合观点。团队成员将通过期刊文章和在创造力、人工智能、人机交互和心理学等国内和国际会议上的演讲,参与成果的传播。预计这项工作将对创造力的理论和理解产生重大影响,特别是在叙事的背景下,作为支持创作过程的新一代工具的基础。
英文摘要
The primary objective of this research is to develop new, cognitively informed computational models of the generation of narrative that is told within three-dimensional virtual environments. Motivated by theoretic models of narrative structure and psychological models of narrative comprehension, techniques will be developed for creating accounts of sequences of events and the techniques needed to convey them to users. These techniques will use these models to search for narratives that are at once coherent and effective at communicating the underlying event structure. The project will explore how computational models of the mental processes performed by people when experiencing film or machinima can inform an automatic process used to generate the films themselves. Extensive empirical studies will provide a comprehensive evaluation of the effectiveness of the models.The research program has three major thrusts: (1) Integrating generative models of character plans with narrative theoretic structural models to create storylines that reflect both rich character goal structures and recognizable narrative elements. (2) Developing methods for shot sequence selection that build on pragmatic models from linguistic communication to effectively convey characters' plans and goals. (3) Developing and then evaluating a system that integrates these parts to search for narratives that are both coherent and effective.The project will contribute to the infrastructure of science and education by training new researchers (graduate research assistants) in an area that is broadly multidisciplinary (computer science, cognitive science and psychology). These new researchers will gain from the project a unique integrated view of the contributing disciplines. Team members will participate in the dissemination of results through journal articles and presentations at national and international conferences on creativity, artificial intelligence, human-computer interaction and psychology. It is expected that the work will have a significant impact on the theory and understanding of creativity, particularly in the context of narrative, serving as a foundation for a new generation of tools that support the creative process.
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