A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman, Ellen Yi-Luen Do,, Michael L. Rivera, and Danielle Albers Szafir

TL;DR
This paper presents a computational design pipeline enabling the creation of 3D printed network physicalizations with integrated capacitive sensing for enhanced interaction and exploration.
Contribution
It introduces a novel, cohesive workflow that combines form and interactivity considerations for fabricating sensor-enabled physicalizations.
Findings
Pipeline supports intuitive touch-based interaction
Enables rapid fabrication of interactive physicalizations
Validated through computational and user evaluations
Abstract
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 supporting selection-the most critical atomic…
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Taxonomy
TopicsData Visualization and Analytics · Personal Information Management and User Behavior
