fp1310-bragdon - GestureBar: Improving the Approachability...

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GestureBar: Improving the Approachability of Gesture-based Interfaces Andrew Bragdon, Robert Zeleznik, Brian Williamson , Timothy Miller, Joseph J. LaViola Jr. Brown University Department of Computer Science 115 Waterman St. 4 th Floor Providence, RI, USA {acb, bcz, tsm}@cs.brown.edu University of Central Florida School of EECS 4000 Central Florida Blvd. Orlando, FL, USA {jjl, bwilliam}@eecs.ucf.edu ABSTRACT GestureBar is a novel, approachable UI for learning gest- ural 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, discover- ing and learning a high percentage of the gestures needed to perform the tasks optimally, and significantly outperform- ing 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. Author Keywords Gestures, pen, approachability, disclosure, learning ACM Classification Keywords H5.2 Information Interfaces and Presentation: Interaction Styles, Evaluation/Methodology INTRODUCTION High quality pen-based hardware devices have become in- creasingly available at successively lower cost. However, companion gestural UIs have gained little traction despite their strong value proposition: gestural commands physical- ly chunk a command and its operands into a single action [4], and different commands can be intermingled without an explicit mode switch, for example, to enable transparent transitions between drawing, moving and erasing [26]. Ges- tures can also be committed to physical muscle memory which can help users focus on their task instead of the UI. The HCI community has a long history of developing ges- tural UIs which demonstrate this value, going back to [5]. Why then, do most applications forgo the potential of ges- tures, relying instead on conventional WIMP paradigms, such as menus and toolbars? We believe the basis for an answer lies in the refrain we commonly encounter when pitching gestural applications to software industry leaders: “this is great, but how will new users learn these gestures?” Figure 1. GestureBar after clicking Delete. Commands are not executed when clicked; rather the Gesture Explorer drop- down displays an illustrative animation with detail tips, a re- play button, a text description and a practice area.
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This note was uploaded on 06/12/2011 for the course CAP 6105 taught by Professor Lavoila during the Spring '09 term at University of Central Florida.

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fp1310-bragdon - GestureBar: Improving the Approachability...

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