Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology

Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology
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设想叙事智能:创造性的视觉叙事选集

DOI:
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发表时间:
2023
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
S. Lukin
S. Lukin
中科院分区:
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文献类型:
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作者:
Brett A. Halperin;S. Lukin

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在本文中,我们收集了一个选集的100个视觉故事的作者谁参加了我们的系统的创作过程中即兴的故事建设的基础上的图像序列。在对我们的选集进行了仔细的阅读和主题分析之后,我们提出了五个主题,这些主题表征了这种创造性的视觉故事讲述过程中发现的变化:(1)叙述视觉与想象中的东西;(2)动态表征实体/物体;(3)感知关于场景的经验信息;(4)调节情绪;(5)编码叙事偏见。在理解人们从图像中获取故事的各种方式时,我们提供了收集故事驱动的训练数据以通知自动故事生成的考虑因素。与每个主题相对应,我们设想计算视觉讲故事的叙事智能标准为:创造性,可靠的,表现力,接地,负责任。从这些标准,我们讨论如何前景创意表达,占偏见,并在视觉故事世界的范围内操作。
In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences. Following close reading and thematic analysis of our anthology, we present five themes that characterize the variations found in this creative visual storytelling process: (1) Narrating What is in Vision vs. Envisioning; (2) Dynamically Characterizing Entities/Objects; (3) Sensing Experiential Information About the Scenery; (4) Modulating the Mood; (5) Encoding Narrative Biases. In understanding the varied ways that people derive stories from images, we offer considerations for collecting story-driven training data to inform automatic story generation. In correspondence with each theme, we envision narrative intelligence criteria for computational visual storytelling as: creative, reliable, expressive, grounded, and responsible. From these criteria, we discuss how to foreground creative expression, account for biases, and operate in the bounds of visual storyworlds.
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