A Language-based Interface for Analysis of Digital Storytelling

A. Gloder, L. Ducceschi, M. Zancanaro
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Abstract

In this paper, we introduce a tool aimed at supporting deep qualitative analysis of digital comics. The tool exploits language-based technologies to facilitate the exploration of relatively large sets of comics. The core idea is that the specific words used in the comics are both an important element of the analysis and an index to navigate and explore the dataset. The design concept has been validated in a pilot study and the findings provide evidence that the approach meets the needs of qualitative analysts with the potential of improving their practices.
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基于语言的数字故事分析界面
在本文中,我们介绍了一个旨在支持数字漫画深度定性分析的工具。该工具利用基于语言的技术来促进对相对较大的漫画集的探索。其核心思想是,漫画中使用的特定单词既是分析的重要元素,也是导航和探索数据集的索引。设计概念已在试点研究中得到验证,研究结果提供了证据,证明该方法满足定性分析人员的需求,具有改进其实践的潜力。
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