A Computational Design Pipeline to Fabricate Sensing Network Physicalizations

A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
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DOI:
10.1109/tvcg.2023.3327198
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发表时间:
2024-01-01
影响因子:
5.2
通讯作者:
Szafir,Danielle Albers
Szafir,Danielle Albers
中科院分区:
计算机科学1区
文献类型:
--
作者:
Bae,S. Sandra;Fujiwara,Takanori;Szafir,Danielle Albers

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交互对于数据分析和意义建构至关重要。然而,设计交互式物理化具有挑战性,因为它需要可视化、制造和电子学方面的跨学科知识。交互式物理化通常以非结构化方式生成,从而为特定数据集、问题或交互提供独特的解决方案,而这些解决方案无法轻松扩展或适应新场景或未来的物理化。为了缓解这些挑战,我们引入了具有集成传感功能的 3D 打印网络物理化计算设计流程。网络无处不在,但其复杂的几何形状也需要大量的工程考虑,才能为探索提供直观、有效的交互。使用我们的管道,设计人员可以通过电容感应和计算推理轻松地生成支持选择(交互中最关键的原子操作)的网络物理化。我们的计算设计流程通过同时考虑物理化的形式和交互性到一个紧密结合的制造工作流程中,引入了一种新的设计范例。我们使用(i)计算评估,(ii)专注于一般可视化任务的三个使用场景,以及(iii)专家访谈来评估我们的方法。我们的管道引入的设计范式可以降低物理化研究、创建和采用的障碍。
Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualization, fabrication, and electronics. Interactive physicalizations are typically produced in an unstructured manner, resulting in unique solutions for a specific dataset, problem, or interaction that cannot be easily extended or adapted to new scenarios or future physicalizations. To mitigate these challenges, we introduce a computational design pipeline to 3D print network physicalizations with integrated sensing capabilities. Networks are ubiquitous, yet their complex geometry also requires significant engineering considerations to provide intuitive, effective interactions for exploration. Using our pipeline, designers can readily produce network physicalizations supportingselection—the most critical atomic operation for interaction—by touch through capacitive sensing and computational inference. Our computational design pipeline introduces a new design paradigm by concurrently considering the form and interactivity of a physicalization into one cohesive fabrication workflow. We evaluate our approach using (i) computational evaluations, (ii) three usage scenarios focusing on general visualization tasks, and (iii) expert interviews. The design paradigm introduced by our pipeline can lower barriers to physicalization research, creation, and adoption.