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Generating Narratives from Personal Digital Data: Triptychs

机译:从个人数字数据中生成叙事:三联画

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摘要

The need for users to make sense of their growing mass of personal digital data presents a challenge to Design and HCI researchers. There is a growing interest in using narrative techniques to support the interpretation and understanding of such data. In this early study we explore methods of selecting images from personal Instagram accounts in the form of a triptych (a sequence of three images) in order to create a sense of narrative. We present a brief description of the algorithms behind image selection, evaluate how effective they are in creating a sense of narrative, and discuss the wider implications of our work. Results show that semantic tagging, a dynamic programming algorithm, and a simple narrative structure produced triptychs which were significantly more story-like, with a significantly more coherent order, than a random selection, or a neutral sequence of images.
机译:用户需要了解他们不断增长的大量个人数字数据,这对Design和HCI研究人员提出了挑战。使用叙事技术来支持这种数据的解释和理解的兴趣与日俱增。在这项早期研究中,我们探索了从个人Instagram帐户中以三联画的形式(三张图像的序列)选择图像的方法,以创造一种叙事感。我们简要介绍了图像选择背后的算法,评估了它们在创造叙事感方面的有效性,并讨论了我们工作的更广泛意义。结果表明,语义标记,动态编程算法和简单的叙述结构产生了三联画,与随机选择或中性的图像序列相比,三联画具有更多的故事情节,连贯的顺序。

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