可视化
计算机科学
范围(计算机科学)
数据科学
数据可视化
过程(计算)
编码(社会科学)
火星探测计划
人机交互
人工智能
程序设计语言
数学
天文
统计
物理
作者
Maggie Hendrie,Hillary Mushkin,Santiago Lombeyda,Scott Davidoff
出处
期刊:Information Design Journal
[John Benjamins Publishing Company]
日期:2022-10-14
卷期号:27 (1): 76-84
被引量:6
标识
DOI:10.1075/idj.22009.hen
摘要
Abstract Data visualization frequently provides audiences with novel semantic and computational presentations. How does a multifaceted team expand this scope by harnessing the power of visualization as a tool to think with? The NASA JPL/Caltech/ ArtCenter data visualization program demonstrates how scientific knowledge, shaped from data and theory, is equally co-constructed from diverse human perspectives. We will share case studies from Mars Rover Path planning and PIXLISE, a visual reasoning tool for understanding planetary geology. Working from source data through mixed media artifacts, these projects explore co-design methods for complex scientific domains with real-world applications. Our methodology emphasizes that all participants in the co-design process are both learners and experts. In this dynamic, the design and coding process are unique modes of critical discovery.
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