Physically Situated Tools for Exploring a Grain Space in Computational Machine Knitting

要旨

We propose an approach to enabling exploratory creativity in digital fabrication through the use of grain spaces. In material processes, "grain" describes underlying physical properties like the orientation of cellulose fibers in wood that, in aggregate, affect fabrication concerns (such as directional cutting) and outcomes (such as axes of strength and visual effects). Extending this into the realm of computational fabrication, grain spaces define a curated set of mid-level material properties as well as the underlying low-level fabrication processes needed to produce them. We specify a grain space for computational brioche knitting, use it to guide our production of a set of hybrid digital/physical tools to support quick and playful exploration of this space's unique design affordances, and reflect on the role of such tools in creative practice.

著者
Lea Albaugh
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Scott E. Hudson
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Lining Yao
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3544548.3581434

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Tools for Creativity

Room Y03+Y04
6 件の発表
2023-04-25 18:00:00
2023-04-25 19:30:00