| GestureBar: improving the approachability of gesture-based interfaces |
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Conference on Human Factors in Computing Systems
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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
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Authors
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Andrew Bragdon
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Brown University, Providence, RI, USA
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Robert Zeleznik
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Brown University, Providence, RI, USA
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Brian Williamson
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University of Central Florida, Orlando, FL, USA
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Timothy Miller
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Brown University, Providence, RI, USA
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Joseph J. LaViola, Jr.
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University of Central Florida, Orlando, FL, USA
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| Bibliometrics |
Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 2
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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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CITED BY 2
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Theresa O'Connell , Chuanjun Li , Timothy S. Miller , Robert C. Zeleznik , Joseph J. LaViola, Jr., A usability evaluation of AlgoSketch: a pen-based application for mathematics, Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling, August 01-02, 2009, New Orleans, Louisiana
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Evaluation/methodology
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation)
General Terms:
Human Factors
Keywords:
approachability,
disclosure,
gestures,
learning,
pen
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