Interaction week 10 cpsc 533c spring 2004
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Interaction Week 10 CPSC 533C, Spring 2004 PowerPoint PPT Presentation


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Interaction Week 10 CPSC 533C, Spring 2004. 11 Feb 2004 Tamara Munzner. Ware: Interaction Cognitive Co-Processor SDM Dynamic Queries Toolglass/Magic Lenses more interaction Influence Explorer LifeLines Hierarchical Clustering Explorer Exploratory Data Views ThemeScapes video (if time).

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Interaction Week 10 CPSC 533C, Spring 2004

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InteractionWeek 10 CPSC 533C, Spring 2004

11 Feb 2004

Tamara Munzner


  • Ware: Interaction

  • Cognitive Co-Processor

  • SDM

  • Dynamic Queries

  • Toolglass/Magic Lenses

  • more interaction

    • Influence Explorer

    • LifeLines

    • Hierarchical Clustering Explorer

    • Exploratory Data Views

  • ThemeScapes video (if time)


Ware Interaction

  • control loops

    • Fitts’ Law

      • time to select depends on distance, target size

  • learning

    • power law of practice

  • vigilance

    • difficult, erodes with fatigue

  • navigation

    • next time


Ware Interaction

  • rapid interaction

    • dynamic queries

    • brushing (linked highlighting)

  • problem solving loops

    • external representations

      • external memory vs internal (working, LT, ST)

      • memory extensions enable otherwise impossible tasks

      • visual spatial reasoning


Cognitive Co-Processor

  • animated transitions

    • object constancy

    • fixed frame rate required

  • architectural solution

    • split work into small chunks

    • animation vs. idle states

    • governor controls frame rate

  • [video: 3D rooms]


SDM

  • sophisticated selection, highlighting,

  • object manipulation

  • [video]


Dynamic Queries: HomeFinder

  • filter with immediate visual feedback

  • “starfield”: scatterplot

  • [video]


DQ 2: FilmFinder


DQ 2: FilmFinder


Toolglass/Magic Lens

symmetry glass

  • see-through

  • two-handed

curvature lens

Figure 12. Gaussian curvature pseudo-color lens with overlaid tool to read the numeric value of the curvature. (Original images courtesy of Steve Mann)


More Linked Views

key infovis interaction principle

so far: Ware, trellis, xgobi, cluster calendar, parallel coords brushing, ...

new examples:

Attribute Explorer

LifeLines

Hierarchical Clustering Explorer

EDV


Influence/Attribute Explorer

  • Visualization for Functional Design, Bob Spense, Lisa Tweedie, Huw Dawkes, Hua Su, InfoVis 95

    [video]


LifeLines

  • LifeLines: Visualizing Personal Histories. B. Milash, C. Plaisant, A. Rose (University of Maryland). CHI 96 Video Program

  • [video]


EDV

Exploratory Data Visualizer

Graham J. Wills. Visual Exploration of Large Structured Datasets. In New Techniques and Trends in Statistics, 237-246. IOS Press, 1995.


Highlighting (Focusing)

Focus user attention on a subset of the data within one graph (from Wills 95)

[www.sims.berkeley.edu/courses/is247/s02/lectures/Lecture3.ppt]


Link different types of graphs:Scatterplots and histograms and bars(from Wills 95)

[www.sims.berkeley.edu/courses/is247/s02/lectures/Lecture3.ppt]


Baseball data:Scatterplots and histograms and bars(from Wills 95)

how long

in majors

select high

salaries

avg career

HRs vs avg

career hits

(batting ability)

avg assists vs

avg putouts

(fielding ability)

distribution

of positions

played

[www.sims.berkeley.edu/courses/is247/s02/lectures/Lecture3.ppt]


Linking types of assist behavior to position played (from Wills 95)

[www.sims.berkeley.edu/courses/is247/s02/lectures/Lecture3.ppt]


HCE

Hierarchical Clustering Explorer

Jinwook Seo, Ben Shneiderman, "Interactively Exploring Hierarchical Clustering Results," IEEE Computer, Volume 35, Number 7, pp. 80-86, July 2002.


HCE

  • Linked views

  • Dendrogram navigation

  • Comparing multiple dendrograms

    [demo]


False negatives vs. positives

[graphics.stanford.edu/courses/cs448b-02-spring/lectures/interaction/walk036.html


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