Undoing Seamlessness: Exploring Seams for Critical Visualization
Undoing Seamlessness: Exploring Seams for Critical Visualization
复制标题
消除无缝性:探索关键可视化的接缝
DOI:
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复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
N. Hengesbach
中科院分区:
文献类型:
--
作者:
N. Hengesbach
While seamful design has been part of discourses and work within HCI contexts for some time, it has not yet been fully explored in data visualization design. At the same time, critics of visualization have been arguing that the representation of data as contextual, contingent, relational, partial, heterogeneous, and situated is currently lacking in visualization. Seamful visualization promises a fresh perspective on visualization design as we seek to find more expressive encodings and novel approaches to representing data that acknowledge their wider qualities and limitations. By consulting seams in other realms and exploring existing seams and seamfulness in visualization, this paper offers a foundation for conceptualizing seamful visualization, points towards the value of seams and seamfulness in critical visualization, and proposes principles for engaging with seamful visualization in practice and research.
DOI:
10.1109/tvcg.2021.3114862
发表时间:
2022
影响因子:
5.2
作者:
Wall, Emily;Narechania, Arpit;Coscia, Adam;Paden, Jamal;Endert, Alex
通讯作者:
Endert, Alex