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Papier-Mache: toolkit support for tangible input
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Vienna, Austria
Pages: 399 - 406  
Year of Publication: 2004
ISBN:1-58113-702-8
Authors
Scott R. Klemmer  University of California, Berkeley, CA
Jack Li  University of California, Berkeley, CA
James Lin  University of California, Berkeley, CA
James A. Landay  University of Washington, Seattle, WA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC : ACM Special Interest Group on Systems Documentation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 148,   Citation Count: 19
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ABSTRACT

Tangible user interfaces (TUIs) augment the physical world by integrating digital information with everyday physical objects. Currently, building these UIs requires "getting down and dirty" with input technologies such as computer vision. Consequently, only a small cadre of technology experts can currently build these UIs. Based on a literature review and structured interviews with nine TUI researchers, we created Papier-Mâché, a toolkit for building tangible interfaces using computer vision, electronic tags, and barcodes. Papier-Mache introduces a high-level event model for working with these technologies that facilitates technology portability. For example, an application can be prototyped with computer vision and deployed with RFID. We present an evaluation of our toolkit with six class projects and a user study with seven programmers, finding the input abstractions, technology portability, and monitoring window to be highly effective.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  19
 

Collaborative Colleagues:
Scott R. Klemmer: colleagues
Jack Li: colleagues
James Lin: colleagues
James A. Landay: colleagues

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