Topiary: A Tool for Prototyping LocationEnhanced Applications PowerPoint PPT Presentation

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Title: Topiary: A Tool for Prototyping LocationEnhanced Applications


1
Informal Prototyping of ContinuousGraphical
Interactions by Demonstration
Yang Li James A. Landay Intel Research Seattle
2
Early Stage User Interface Design
informal prototyping tools
design
prototype
evaluate
3
Informal UI Prototyping ToolsStoryboards
Efficient for prototyping discrete aspects
Provide little support for continuous interactions
4
Continuous Graphical Interactions
zoom slider
semantic zooming
drag drop
interactive simulation
scrollbar
graphical design
spring simulation
5
Research Goals and Challenges
  • Quick easy prototyping of continuous
    interactions
  • Allow freeform sketching and demonstration
  • Prototype richer interactions
  • Integrate discrete continuous interaction
  • Explore new, more dynamic behaviors
  • Do not rely on domain knowledge

6
MonetA Tool for Sketching Continuous Interactions
Semantic Zooming
Dial
7
Features of MonetAn Introductory Example
  • Prototype continuous widgets based on samples
  • Specify states of interest by example
  • Embed continuous widgets into storyboards

8
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9
Features of MonetDemonstrating Compound Behaviors
  • Multiple continuous widgets
  • All changing synchronously

10
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AlgorithmsModeling Continuous Interactions
continuous valued function
geometric configuration
users input
g (sx, sy, dx, dy, ?)
p(x, y)
User Cursor representing the position of a
pointing device on a 2D canvas

12
AlgorithmsApproximating a Continuous Function
continuous valued function
geometric configuration
users input
g (sx, sy, dx, dy, ?)
p(x, y)
weights
p1
g1
FWT - T
p2
g2


pn
gn
13
AlgorithmsDetecting Pivots
14
AlgorithmsLearning States of Interest
Naïve Bayesian Model
States such as hot, cold, comfortable
S
sx
sy
dx
dy
?
Geometric configuration of a widget, xi
15
Our ExperiencePrototyping a Set of Examples
  • DragDrop
  • Vertical Scrollbar
  • Zoomable user interface
  • Simulation of the Sine Function

16
Our ExperienceExamples 1 DragDrop
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Our ExperienceExamples 2 A Vertical Scrollbar
18
Our ExperienceExamples 3 A Zoomable User
Interface
19
Our ExperienceExamples 4 A Simulation of the
Sine Function
20
Conclusion Future Work
  • Monet sketch-based tool for continuous
    interactions
  • Allows creating continuous behavior by
    demonstration
  • Simulates continuous interactions by
    approximation
  • Allows embedding continuous widgets into
    storyboards
  • Future prototype more continuous behaviors
  • Color output, e.g., a color palette
  • Time input, e.g., a progress bar or animation

21
Informal Prototyping of ContinuousGraphical
Interactions by Demonstration
Yang Li James A. Landay Intel Research Seattle
http//dub.washington.edu
22
Preliminary User Study of MonetDesign of the
Study
  • Five participants
  • 3 HCI researchers
  • 2 computer scientists with UI development
    experience
  • Three tasks from easy to hard covering key
    features
  • 1 Prototype a horizontal slider
  • 2 Create a spring and a dial moving
    synchronously
  • 3 Create a two-level zoomable user interface
  • Equipment
  • Compaq Tablet PC TC1000

23
Preliminary User Study of Monet Results
  • Positive feedback on the tool
  • Straightforward and easy to use
  • Useful for rough UI prototyping as well as
    simulation
  • Encourage designing more dynamic interactions
  • Two major problems
  • Need a clearer division of capabilities in the
    modes
  • Lack of feedback when creating compound behaviors
  • Areas for improvement

24
Our ExperienceExamples 2 A Vertical Scrollbar
  • Two continuous widgets (used 4 samples in total)
  • One compound behavior
  • One storyboard page

25
Our ExperienceExamples 2 A Numerical Dial
  • One continuous widget (used 3 samples in total)
  • Seven storyboard pages twelve transitions

26
Our ExperienceExamples 3 A Zoomable User
Interface
  • Three continuous widgets(used 8 samples in
    total)
  • Two compound behaviors
  • Two storyboard pages two transitions

27
Our ExperienceExamples 4 A Simulation of the
Sine Function
  • Two continuous widgets (used 5 samples in total)
  • One compound behavior
  • One movement path

28
AlgorithmsDetecting Pivots
Variance of transformed positions
gi
Calculate a point (x', y') with a minimum f
If f(x', y') lt C, a pivot exists for the
continuous widget
29
Our ExperienceExamples 2 A Numerical Dial
30
Characteristics of Our Solutions
  • Quick easy prototyping of continuous
    interactions
  • Allow sketch-based interactions
  • Demonstrate continuous interactions
  • Integration of discrete continuous interaction
  • Specify states of interest of widgets by example
  • Embed continuous widgets into storyboard pages
  • Does not use domain knowledge
  • No built-in continuous behaviors
  • Simulates continuous interactions by approximation
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