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Eyepatch: prototyping camera-based interaction through examples
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Symposium on User Interface Software and Technology archive
Proceedings of the 20th annual ACM symposium on User interface software and technology table of contents
Newport, Rhode Island, USA
SESSION: Novel interaction table of contents
Pages: 33 - 42  
Year of Publication: 2007
ISBN:978-1-59593-679-2
Authors
Dan Maynes-Aminzade  Stanford University, Stanford, CA
Terry Winograd  Stanford University, Stanford, CA
Takeo Igarashi  University of Tokyo, Tokyo, Japan
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Cameras are a useful source of input for many interactive applications, but computer vision programming is difficult and requires specialized knowledge that is out of reach for many HCI practitioners. In an effort to learn what makes a useful computer vision design tool, we created Eyepatch, a tool for designing camera-based interactions, and evaluated the Eyepatch prototype through deployment to students in an HCI course. This paper describes the lessons we learned about making computer vision more accessible, while retaining enough power and flexibility to be useful in a wide variety of interaction scenarios.


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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Collaborative Colleagues:
Dan Maynes-Aminzade: colleagues
Terry Winograd: colleagues
Takeo Igarashi: colleagues