InfluViz & # x2014;探索和分析艺术家及其作品之间创作影响的可视化工具

Christine Schikora, Daniel Isemann
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引用次数: 1

摘要

本文描述了一个交互式工具的设计和开发,用于探索艺术家之间的影响网络的可视化。该工具是由计算机科学家和艺术历史学家跨学科合作开发的,旨在支持艺术历史学家和其他感兴趣的团体互动发现和分析一组艺术家及其作品之间的创造性影响。这些影响是基于艺术史学家对作品的判断和一个汇总公式。该工具由多个可视化组成,每个可视化表示不同级别的细节。除了元数据(例如艺术作品的日期和艺术作品的图像)之外,还以图表形式显示作品之间或艺术家之间(如果汇总)的影响。非专业观众和领域专家对原型进行了初步评估,指出了应用这种方法支持数字艺术史上的新研究和探索实践的机会和潜在改进领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InfluViz — A Visualization Tool for Exploring and Analyzing Creative Influence Between Artists and their Works
This paper describes the design and development of an interactive tool for explorative visualization of influence networks between artists. Developed in an interdisciplinary collaboration of computer scientists and art historians, the tool aims at supporting art historians and other interested parties in the interactive discovery and analysis of creative influences between a group of artists and their works. The influences are based on the judgements of art historians for pairs of works and an aggregation formula. The tool consists of multiple visualizations, each representing a different level of detail. In addition to metadata, e.g. the date of a work of art, and images of the works of art, influences between works or (if aggregated) between artists are displayed in graph form. A preliminary evaluation of the prototype with a non-expert audience as well as domain experts points to opportunities and areas of potential improvement in applying this approach to support novel research and exploration practices in digital art history.
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