网络图像的视觉方法:合作研究、跨平台分析和公众参与的可视化设计

S. Niederer, Gabriele Colombo
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引用次数: 15

摘要

在本文中,我们提出了与数字图像的网络性质相适应的视觉方法。首先,我们描述了图像研究的方法,其中图像不与它们的网络分离,而是整体研究。在这里,我们对比了将图像视为数据的方法和将图像视为内容的方法。其次,我们专注于数字研究的图像生产,展示了它们的三个功能:a)创建图表,促进跨学科研究团队的合作;B)使用可视化进行跨平台图像分析;c)设计公众参与的形象。最重要的是,这种可视化不是用来形成分析工作的美学高潮,而是数字研究的功能性工具,从其制定和操作到更广泛的公众参与,为整个研究过程的一部分提供服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Methodologies for Networked Images: Designing Visualizations for Collaborative Research, Cross-platform Analysis, and Public Participation
In this paper we present visual methodologies attuned to the networked nature of digital images. First, we describe approaches to image research in which images are not separated from their network, but rather studied en groupe. Here, we contrast approaches that treat images as data, and those that regard images as content. Second, we focus on the production of images for digital research, presenting three of their functions: a) the creation of diagrams that facilitate collaboration in interdisciplinary research teams; b) the use of visualizations for cross-platform image analysis; and c) designing images for public participation. Most importantly, such visualizations are not used to form the esthetic culmination of analytical work, but are rather functional tools for digital research that serve parts of the entire research process, from its formulation and operationalization to the engagement of a broader public.
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