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GestureBar: improving the approachability of gesture-based interfaces
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Gesture UIs table of contents
Pages 2269-2278  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Andrew Bragdon  Brown University, Providence, RI, USA
Robert Zeleznik  Brown University, Providence, RI, USA
Brian Williamson  University of Central Florida, Orlando, FL, USA
Timothy Miller  Brown University, Providence, RI, USA
Joseph J. LaViola, Jr.  University of Central Florida, Orlando, FL, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

GestureBar is a novel, approachable UI for learning gestural interactions that enables a walk-up-and-use experience which is in the same class as standard menu and toolbar interfaces. GestureBar leverages the familiar, clean look of a common toolbar, but in place of executing commands, richly discloses how to execute commands with gestures, through animated images, detail tips and an out-of-document practice area. GestureBar's simple design is also general enough for use with any recognition technique and for integration with standard, non-gestural UI components. We evaluate GestureBar in a formal experiment showing that users can perform complex, ecologically valid tasks in a purely gestural system without training, introduction, or prior gesture experience when using GestureBar, discovering and learning a high percentage of the gestures needed to perform the tasks optimally, and significantly outperforming a state of the art crib sheet. The relative contribution of the major design elements of GestureBar is also explored. A second experiment shows that GestureBar is preferred to a basic crib sheet and two enhanced crib sheet variations.


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:
Andrew Bragdon: colleagues
Robert Zeleznik: colleagues
Brian Williamson: colleagues
Timothy Miller: colleagues
Joseph J. LaViola, Jr.: colleagues