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dc.contributor.authorWorgan, Paul
dc.contributor.authorReuss, Kevin
dc.contributor.authorMueller, Stefanie
dc.date.accessioned2019-07-08T17:12:45Z
dc.date.available2019-07-08T17:12:45Z
dc.date.issued2019-03
dc.identifier.isbn978 -1- 4503 -6196 -5/19/03
dc.identifier.urihttps://hdl.handle.net/1721.1/121521
dc.description.abstractA key challenge when designing deformable user interfaces is the integration of rigid electronic components with the soft deformable device. In this paper, we propose to place electronic components based on how the user is interacting with the device, i.e., in which way the device is being deformed when the user performs gestures. To identify optimum locations for placing electronic components, we developed a design tool that takes as input a 3D model of the deformable device and a set of captured user gestures. It then visualizes the stress distribution resulting from the gestures applied to the deformable device and suggests where not to place components because the location is highly deformed when users interact (e.g., a rigid battery that would constraint interaction); or alternatively where to place components to sense deformation more accurately (e.g., a bend sensor to detect a specific gesture) and efficiently (e.g., an energy harvesting component). We evaluated our approach by collecting interaction data from 12 users across three deformable devices (a watch, a camera, and a mouse) and applied the resulting stress distributions to the placement of selected electronic components.en_US
dc.language.isoen
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionof10.1145/3294109.3295629en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleIntegrating electronic components into deformable objects based on user interaction dataen_US
dc.typeArticleen_US
dc.identifier.citationWorgan, Paul, Kevin Reuss and Stefanie Mueller. "Integrating electronic components into deformable objects based on user interaction data." In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, TEL'19, Tempe, Arizona, USA, March 17-20, 2019, Pages 345-350.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interactionen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-28T13:23:24Z
dspace.date.submission2019-06-28T13:23:26Z


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