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OctoPocus: a dynamic guide for learning gesture-based command sets
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Source
Symposium on User Interface Software and Technology archive
Proceedings of the 21st annual ACM symposium on User interface software and technology table of contents
Monterey, CA, USA
SESSION: Gestures for interaction table of contents
Pages 37-46  
Year of Publication: 2008
ISBN:978-1-59593-975-3
Authors
Olivier Bau  INRIA Saclay - LRI, Orsay, France
Wendy E. Mackay  INRIA Saclay - LRI, Orsay, France
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

We describe OctoPocus, an example of a dynamic guide that combines on-screen feedforward and feedback to help users learn, execute and remember gesture sets. OctoPocus can be applied to a wide range of single-stroke gestures and recognition algorithms and helps users progress smoothly from novice to expert performance. We provide an analysis of the design space and describe the results of two experi-ments that show that OctoPocus is significantly faster and improves learning of arbitrary gestures, compared to con-ventional Help menus. It can also be adapted to a mark-based gesture set, significantly improving input time compared to a two-level, four-item Hierarchical Marking menu.


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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Blinkenstorfer, C. (1995) Graffiti. Pen Computing, p. 30--31.
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Kurtenbach, G. & Moran, T. (1994) Contextual Animation of Gestural Commands. In Proc. Eurographics Computer Graphics Forum. Vol. 13(5), 305--314.
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Collaborative Colleagues:
Olivier Bau: colleagues
Wendy E. Mackay: colleagues