图书情报知识 ›› 2022, Vol. 39 ›› Issue (5): 42-55.doi: 10.13366/j.dik.2022.05.042

• 学术聚焦 · 数字人文研究的数据与工具 • 上一篇    下一篇

数字人文中的交互式可视化应用研究综述

李文琦   

  • 出版日期:2022-09-10 发布日期:2022-12-04

A Review of Research on Interactive Visualization Applications in Digital Humanities

  • Online:2022-09-10 Published:2022-12-04

摘要: [目的/意义]交互式可视化在数字人文研究中被广泛应用,对该领域研究现状进行综述具有参考价值。[研究设计/方法]从数字人文领域的代表性期刊、会议及国内数字人文研究机构的主要成果中收集了50个交互式可视化研究及项目,结合已有可视化理论,应用归纳式编码构建分类分析框架。基于该框架从用户、数据、任务、视觉呈现和交互五个要素对所收集文献进行梳理分析。[结论/发现]当前研究尚缺乏对大众视角的GLAM数据可视化、人文数据集的建设、利用可视化辅助人文标注三个方向的关注;当前数字人文中交互式可视化设计的主要挑战是应对数据不确定性,以及提升面向大规模、多维度数据及复杂任务的交互式可视化的表现力和可用性。[创新/价值]揭示了交互式可视化在数字人文领域应用中关注的焦点和有待探索的方向。


关键词: 数字人文, 交互式可视化, 人文数据, 信息可视化, 文献综述

Abstract: [Purpose/Significance] This paper presents a systematic review of current research that employ interactive visualization in digital humanities studies to reveal the whole picture of the area.  [Design/Methodology] Fifty interactive visualization studies and projects were collected from representative journals and conferences in the field of digital humanities and major projects of domestic digital humanities research institutions. A new analytical framework and taxonomy was proposed based on existing visualization theory and inductive coding. Based on this framework,the collected literatures were categorized and analyzed from the perspective of user, data, task, visual representation and interactions. [Findings/Conclusion] Our results show that(1)There's a lack of attention to visualizing GLAM data for public users, constructing humanities datasets and assisting annotation with visualizations.(2)The main challenge of interactive visualization design in the current digital humanities is to cope with data uncertainty and improve the performance and availability of interactive visualization for large-scale, multi-dimensional data and complex tasks. [Originality/Value] This paper reveals the research state and future direction of interactive visualization in the field of digital humanities.

Key words: Digital humanities, Interactive visualization, Humanities data, Information visualization, Literature review