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SIMS 247: Information Visualization and Presentation Marti Hearst

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Title: SIMS 247: Information Visualization and Presentation Marti Hearst


1
SIMS 247 Information Visualization and
PresentationMarti Hearst
Feb 11, 2004    
2
Today
  • High-interaction Graphics
  • Brushing, linking, highlighting
  • Animation
  • Focus on usability studies

3
Standard Techniques
  • Its often hard to beat
  • Line graphs, bar charts
  • Scatterplots (or Scatterplot Matrix)
  • Tables
  • A Darwinian view of visualizations
  • Only the fittest survive
  • We are in a period of great experimentation
    eventually it will be clear what works and what
    dies out.
  • A bright spot
  • Enhancing the old techniques with interactivity
  • Example Spotfire
  • Adds interactivity, color highlighting, zooming
    to scatterplots
  • Example TableLens / Eureka
  • Adds interactivity and length cues to tables

4
Brushing Linking
  • LinkingVisually indicating which parts of one
    data display correspond to that of another
  • BrushingAllowing the user to move a region
    (brush) around the data display to highlight
    groups of data points.
  • Usability issues
  • Selection, de-selection, setting values,
    appropriate widgets

5
Brushing and Linking
  • At least two things must be linked together to
    allow for brushing
  • select a subset of points
  • see the role played by this subset of points in
    one or more other views
  • Highlighting is key
  • Example systems
  • Ahlberg Sheidermans IVEE (Spotfire)
  • Graham Wills EDV system

6
Linking types of assist behavior to position
played (from Eick Wills 95)
7
Baseball dataScatterplots and histograms and
bars (from Eick 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
8
What can be learned from interaction with this
baseball data?
  • Seems impossible to earn a high salary in the
    first three years
  • High salaried players have a bimodal distribution
    (peaking around 7 13 yrs)
  • Hits/Year a better indicator of salary than
    HR/Year
  • High paid outlier with low HR and medium
    hits/year. Reason person is player-coach
  • There seem to be two differentiated groups in the
    put-outs/assists category (but not correlated
    with salary) Why?

9
Dynamic Queries
  • Selecting value ranges of variables via controls
    with real time feedback in the display
  • Principles
  • Visual presentation of querys components
  • Visual presentation of results
  • Rapid, incremental, and reversible control
  • Selection by pointing, not typing
  • Immediate and continuous feedback
  • Support browsing
  • Details on demand

10
Dynamic Queries
  • Tight coupling
  • Query components are interrelated in ways that
    preserve display invariants, reveal state of
    system
  • Output of queries can be easily used as input to
    produce other queries. Eliminate distinction
    between commands/queries/input and
    results/tables/output
  • Example Interactive Scatterplots
  • Multiple Names
  • Starfield, IVEE, Spotfire, HomeFinder

11
Interaction with Scatterplots
12
Interaction with Scatterplots
13
Interaction with Scatterplots
14
Example
Devise Jobs to Skill Matching
15
Home Finder Text
16
Home Finder Map
17
Pros Cons
  • Quick, easy, safe, playful
  • Good for novices experts
  • For exploration of large data sets
  • Simple queries only
  • So many controls

18
More Brushing Linking Examples
Linking altitude to grass and grain types in
Scottish Districts
  • Districts of the city of Dublin showing areas
    with high levels of average income

19
Examples
  • Periodic Table of the ElementsAdjust properties
    with sliders on the bottom to highlight matching
    elements. (Ahlberg,Williamson, Shneiderman 92)

20
Examples
  • DynaMapCervical cancer rates from 1950-1970 -
    modify year, state, demographics

21
Examples
22
Animation
  • The quality or condition of being alive, active,
    spirited, or vigorous (dictionary.com)
  • A dynamic visual statement that evolves through
    movement or change in the display
  • creating the illusion of change by rapidly
    displaying a series of single frames (Roncarelli
    1988).

23
We Use Animation to
  • Tell stories / scenarios cartoons
  • Illustrate dynamic process / simulation
  • Create a character / an agent
  • Navigate through virtual spaces
  • Draw attention
  • Delight

24
Animation Examples
  • Secret Lives of Numbers Viz
  • http//www.turbulence.org/Works/nums/applet.html

25
Cartoons in UIs
http//www.ok-cancel.com/archives/week_2004_02_06.
html
26
Cartoon-Style Animation
  • Main Reference
  • Chang Unger, Animation From Cartoons to the
    User Interface, UIST 93
  • Main ideas
  • Visual change in the interface can be sudden and
    unexpected
  • User can lose track of causal connection between
    events
  • Classic example closing/opening windwos
  • This is now remedied via animation in standard
    windows interfaces
  • People have no trouble understanding transitions
    in animated cartoons
  • They grow and deform smoothly
  • They provide visual cues of what is happening
    before, during, and after a transition.

27
Cartoon Animation in User Interface Design
  • User Cartooning Principles to Enhance Animations
  • Replace sudden transitions with smooth ones
  • Some Principles
  • Solidity (squash and stretch)
  • Motion blur
  • Dissolves
  • Arrival and departure (from off-screen)
  • Exaggeration
  • Dont just mimic relatity
  • Anticipation
  • Follow through
  • Reinforcement
  • Slow in and slow out
  • Arcs
  • Follow through

28
Cartoons vs. UIs
  • What is different?
  • UIs are interactive
  • Purpose Fun vs. getting work done

29
Application using Animation Gnutellavision
  • Animated Exploration of Graphs with Radial
    Layout, Ka-Ping Yee, Danyel Fisher, Rachna
    Dhamija, Marti Hearst, in IEEE Infovis Symposium,
    San Deigo, CA, October 2001.
  • Visualization of Peer-to-Peer Network
  • Hosts (with color for status and size for number
    of files)
  • Nodes with closer network distance from focus on
    inner rings
  • Queries shown can trace queries

30
Layout - Illustration

31
Animation in Gnutellavision
  • Goal of animation is to help maintain context
    of nodes and general orientation of user during
    refocus
  • Transition Paths
  • Linear interpolation of polar coordinates
  • Node moves in arc not straight line
  • Moves along circle if not changing levels (like
    great circles on earth)
  • Spirals in or out to next ring

32
Animation (continued)
  • Transition constraints
  • Orientation of transition to minimize rotational
    travel
  • (Move former parent away from new focus in same
    orientation)
  • Avoid cross-over of edges
  • (to allow users to keep track of which is which)
     
  • Animation timing
  • Slow in Slow out timing (allows users to better
    track movement)
  • Small usability study
  • Participants preferred with animation for larger
    graphs

33
Transition Constraint - Orientation

34
Transition Constraint - Order
35
Evaluating Animation in UIs
  • Thomas and Demczuk, Evaluation of Animation
    Effects to Improve Indirect Manipulation, First
    Australasian User Interface Conference, January
    31 - February 03, 2000
  • Examining animation effects to provide visual
    cues to highlight information about changes that
    come about indirectly.
  • Direct manipulation when there is a
    straightforward mapping from user actions to
    visible changes
  • Some changes have no obvious mapping or require
    too much precision
  • Problem
  • Pre and post-positions of graphical objects
    during an indirect manipulation alignment
    problem.

36
Thomas Demczuk Study
  • Addressing two problems
  • Confusion caused by sudden visual change
  • Difficulty in predicting final result of a
    complex change
  • Figure 1
  • Not obvious which objects in the top correspond
    to the ones below
  • Approach
  • Cartooning animation techniques

37
Thomas Demczuk Study
38
Thomas Demczuk Study
39
Thomas Demczuk Study
  • Three new visual effects
  • Telltale objects are animated as if one of the
    corners is begin dragged by a mouse while the
    remainder of the object stays behind
  • Shorter than earlier work only 10 of its
    distance
  • Color used to cue the original position of the
    graphical object
  • Wiggle cue the original position of the object

40
Thomas Demczuk Study
  • Method
  • Measure participants ability to remember the
    placement of the graphical objects
  • 4-8 objects moved after 5 seconds using one of
  • Telltale
  • Color
  • Wiggle
  • No feedback
  • Participant then draws original positions
  • Hypotheses
  • Animation color cues will help Ps remember
    original positions compared to no feedback
  • Ps will prefer tasks with visual cues

41
Thomas Demczuk Study
  • Results

42
Thomas Demczuk Study
  • Results
  • Animation cues helped task
  • Ps preferred animation cues
  • Negative response to the task with no cues

43
Analying Animation in UIs
  • C. Gonzales, Does Animation In User Interfaces
    Improve Decision Making? CHI 96
  • Improve the definition of animation
  • A series of varying images presented dynamically
    according to user actions in ways tha thelp the
    user to perceive a continuous change over time
    and develop a more appropriate mental model of
    the task.
  • Literature Review
  • There is little theoretical or empirical work
    about how to design, use, and evaluation
    animation for UIs

44
Analyzing Animation in UIs
  • C. Gonzales, Does Animation In User Interfaces
    Improve Decision Making? CHI 96
  • Improve the definition of animation
  • A series of varying images presented dynamically
    according to user actions in ways tha thelp the
    user to perceive a continuous change over time
    and develop a more appropriate mental model of
    the task.
  • Literature Review
  • There is little theoretical or empirical work
    about how to design, use, and evaluation
    animation for UIs

45
Gonzales Study
  • 89 participants (undergrads)
  • 2 task domains
  • Apartment finding (20 alternatives, 11
    attributes)
  • Physics problem (compare sunken floating
    objects)
  • 2 Types of Image
  • Realistic
  • Abstract
  • 2 Transition Types
  • Gradual
  • Abrupt
  • 2 Interactivity Types
  • Parallel
  • Sequential

46
Gonzales Study
Photo from a 3D model
47
Gonzales Study
48
Gonzales Study
49
Gonzales Study
  • Method
  • Each session 30-40 minutes
  • Written instructions and task descriptions
  • Objective measures
  • Time
  • Accuracy
  • Subjective measures
  • Ease of use
  • Enjoyment

50
Gonzales Study
  • Results
  • Animation with realistic images more accurate,
    faster, and easier than abstract
  • Animation with graduate transitions more accurate
    and easier than abrupt (not faster)
  • Animation with parallel control more accurate and
    more enjoyable. This interacted with task type.
  • Home finding easier, more enjoyable, more
    accurate than physics tasks
  • Overall conclusions
  • Decision making performance is highly contingent
    on the properies of the animation UI and the
    task.

51
Animation in Instruction
  • Morrison Tversky
  • Julie B. Morrison, Barbara Tversky The
    (in)effectiveness of animation in instruction CHI
    01 extended abstracts.
  • Tversky, Morrison, and Betrancourt, Animation
    can it facilitate? IJHCS 57, 247-262, 2001.
  • Found animation did not aid (nor harm)
    instruction
  • Potential reasons
  • Hard to perceive (too fast/complex)
  • May be comprehended discretely
  • Lacking appropriate interactivity
  • They point out that studies that show animation
    benefits often have extra info over the diagrams
  • My question if the diagrams have everything the
    animations do, maybe they are just slow
    animations?

52
Animation in Instruction
  • Stasko et al.
  • Did a series of studies on algorithm animation
  • Intially did not find effects either way
  • Changed the study
  • Kehoe, Colleen, Stasko, John and Taylor, Ashley,
    "Rethinking the Evaluation of Algorithm
    Animations as Learning Aids An Observational
    Study", International Journal of Human-Computer
    Studies, Vol. 54, No. 2, February 2001, pp.
    265-284
  • From lab/exam-oriented to homework-oriented
  • Rich observations of how different tools were
    used together
  • Perhaps a more appropriate application of viz
  • For understanding of complicated steps in
    binomial heap algorithms
  • Positive results
  • Best when animation and explanation are
    simultaneous
  • Students need to be able to step through, control
    speed
  • Students were more accurate and enjoyed the work
    more with animation.

53
Next Time
  • Multidimensional Visualization
  • Readings
  • TableLens
  • Parallel Coordinates
  • Intro paper
  • Example of usage
  • Comparative Evaluation of Three Systems
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