Home > Research > Publications & Outputs > ShapeCanvas

Electronic data

  • CHI16_ShapeCanvas

    Rights statement: © {Owner/Author ACM}, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858316

    Accepted author manuscript, 1 MB, PDF-document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

View graph of relations

ShapeCanvas: an exploration of shape-changing content generation by members of the public

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published
Publication date7/05/2016
Host publicationCHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM Press
Pages2778-2782
Number of pages5
ISBN (Print)9781450333627
<mark>Original language</mark>English
EventCHI 2016 - San Jose, United States

Conference

ConferenceCHI 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16

Conference

ConferenceCHI 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16

Abstract

Shape-changing displays--visual output surfaces with physically-reconfigurable geometry---provide new challenges for content generation. Content design must incorporate visual elements, physical surface shape, react to user input, and adapt these parameters over time. The addition of the ‘shape channel’ significantly increases the complexity of content design, but provides a powerful platform for novel physical design, animations, and physicalizations. In this work we use ShapeCanvas, a 4×4 grid of large actuated pixels, combined with simple interactions, to explore novice user behavior and interactions for shape-change content design. We deployed ShapeCanvas in a café for two and a half days and observed users generate 21 physical animations. These were categorized into seven categories and eight directly derived from people’s personal interest. This paper describes these experiences, the generated animations and provides initial insights into shape- changing content design.

Bibliographic note

© {Owner/Author ACM}, 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858316