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Shape-Aware Material: Interactive Fabrication with ShapeMe

Published: 11 October 2018 Publication History

Abstract

Makers often create both physical and digital prototypes to explore a design, taking advantage of the subtle feel of physical materials and the precision and power of digital models. We introduce ShapeMe, a novel smart material that captures its own geometry as it is physically cut by an artist or designer. ShapeMe includes a software toolkit that lets its users generate customized, embeddable sensors that can accommodate various object shapes. As the designer works on a physical prototype, the toolkit streams the artist's physical changes to its digital counterpart in a 3D CAD environment. We use a rapid, inexpensive and simple-to-manufacture inkjet printing technique to create embedded sensors. We successfully created a linear predictive model of the sensors' lengths, and our empirical tests of ShapeMe show an average accuracy of 2 to 3 mm. We present two application scenarios for modeling multi-object constructions, such as architectural models, and 3D models consisting of multiple layers stacked one on top of each other. ShapeMe demonstrates a novel technique for integrating digital and physical modeling, and suggests new possibilities for creating shape-aware materials.

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cover image ACM Conferences
UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
October 2018
1016 pages
ISBN:9781450359481
DOI:10.1145/3242587
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 October 2018

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Author Tags

  1. personal fabrication
  2. physical modeling
  3. printed electronics
  4. sensing technologies
  5. shape-aware materials

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UIST '18 Paper Acceptance Rate 80 of 375 submissions, 21%;
Overall Acceptance Rate 561 of 2,567 submissions, 22%

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  • (2024)Palette-PrintAR: augmented reality design and simulation for multicolor resin 3D printingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642909(1-12)Online publication date: 11-May-2024
  • (2024)LaCir: A multilayered laser-cuttable material to co-fabricate circuitry and structural components.Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642888(1-10)Online publication date: 11-May-2024
  • (2023)BrickStARt: Enabling In-situ Design and Tangible Exploration for Personal Fabrication using Mixed RealityProceedings of the ACM on Human-Computer Interaction10.1145/36264657:ISS(64-92)Online publication date: 31-Oct-2023
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  • (2022)iWood: Makeable Vibration Sensor for Interactive PlywoodProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545640(1-12)Online publication date: 29-Oct-2022
  • (2022)VibroAware: vibroacoustic sensing for interaction with paper on a surfaceNDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World10.1117/12.2617330(4)Online publication date: 18-Apr-2022
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