Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25249
Title: StrutModeling: A Low-Fidelity Construction Kit to Iteratively Model, Test, and Adapt 3D Objects
Authors: LEEN, Danny 
RAMAKERS, Raf 
LUYTEN, Kris 
Issue Date: 2017
Publisher: ACM
Source: Proceedings of the 30th ACM Symposium on User Interface Software and Technology (UIST 2017), ACM,p. 471-479
Abstract: We present StrutModeling, a computationally enhanced construction kit that enables users without a 3D modeling background to prototype 3D models by assembling struts and hub primitives in physical space. Physical 3D models are immediately captured in software and result in readily available models for 3D printing. Given the concrete physical format of StrutModels, modeled objects can be tested and fine tuned in the presence of existing objects and specific needs of users. StrutModeling avoids puzzling with pieces by contributing an adjustable strut and universal hub design. Struts can be adjusted in length and snap to magnetic hubs in any configuration. As such, arbitrarily complex models can be modeled, tested, and adjusted during the design phase. In addition, the embedded sensing capabilities allow struts to be used as measuring devices for lengths and angles, and tune physical mesh models according to existing physical objects.
Keywords: tangible modeling; construction kit; 3D Modeling; personal/digital fabrication
Document URI: http://hdl.handle.net/1942/25249
ISBN: 9781450349819
DOI: 10.1145/3126594.3126643
ISI #: 000455360100041
Rights: Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM). Permission to make digital or hard copies of portions 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. Copyright for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permission to republish from: permissions@acm.org or Fax +1 (212) 869-0481.
Category: C1
Type: Proceedings Paper
Validations: vabb 2020
Appears in Collections:Research publications

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