analysis experiences using information visualization l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Analysis Experiences Using Information Visualization PowerPoint Presentation
Download Presentation
Analysis Experiences Using Information Visualization

Loading in 2 Seconds...

play fullscreen
1 / 22

Analysis Experiences Using Information Visualization - PowerPoint PPT Presentation


  • 344 Views
  • Uploaded on

Analysis Experiences Using Information Visualization Beth Hetzler Alan Turner Realizing Value from Visual Analysis Tools Sound algorithms (representation, clustering, projection, etc.) Visualization conveys useful information Interaction natural and easy to learn

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Analysis Experiences Using Information Visualization' - andrew


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
realizing value from visual analysis tools
Realizing Value from Visual Analysis Tools
  • Sound algorithms (representation, clustering, projection, etc.)
  • Visualization conveys useful information
  • Interaction natural and easy to learn
  • User able to profit from visualization (*)
  • Concepts fit user model(s) and process (*)
  • System works acceptably in user environment (*)
analysts environment
Analysts’ Environment
  • Lots of information, variety of sources
  • Constantly more new information
  • Time pressure
  • Difficult to tell what is pertinent without reading or skimming
  • May be learning new subject area
  • May not be expert in computer science
analytic environment cont
Analytic Environment (cont.)
  • Maintain expertise in particular areas
    • broad issues over time
    • changing vocabulary, evolving themes
    • “Tyranny of the inbox”
  • Ad hoc questions on short fuse
    • little time to hone queries
  • Need to provide and support judgement
  • Risks of satisficing
analysts dilemma

High profit documents

Legend

Key documents

Key documents that are high profit

419

28

Participant 5: 96 minutes

Experience: 17 years

Query 1: ESA | (european & space &

agency)

Query 2: (ESA | (european & space &

agency)) > (19960601) Infodate

Analysts’ Dilemma

2000 in Database

3 High

725 Query 1

Profit

419 Query 2

28 read

24 on-topic

6 High

Profit

8 cut and

paste

3 key

©1999 Patterson

With permission of Emily Pattersonn

slide6

419

28

S5: 96 minutes

ESA | (european & space &

agency)

(ESA | (european & space &

agency)) > (19960601) Infodate

Key documents that are high profit

High profit documents

Key documents

161

169

22

29

5

15

S2: 73 minutes

esa & ariane*

(esa & ariane*) & failure

S3: 24 minutes

europe 1996

(europe 1996) & (launch failure)

(europe 1996) & ((launch

failure):%2)

S4: 68 minutes

(european space agency):%3 &

ariane & failure & (launcher

|rocket))

66

194

184

29

14

12

7

4

S6: 32 minutes

1996 & Ariane

(1996 & Ariane) & (destr*

| explo*)

(1996 & Ariane) & (destr*

| explo*) & (fail*)

S7: 73 minutes

software & guidance

S8: 27 minutes

esa & ariane

ariane & 5

(ariane & 5):%2

((ariane & 5):%2) & (launch

& failure)

S9: 44 minutes

1996 & European Space

Agency & satellite

1996 & European Space

Agency & lost

1996 & European Space

Agency & lost & rocket

With permission of Emily Patterson

©1999 Patterson

what could it mean to address information overload
What Could It Mean to “Address Information Overload?”
  • Reduce time spent crafting queries
  • Reduce risk of eliminating important information
  • Increase chance of recognizing important information
  • Ability to handle more documents
  • Improve ability to structure information perusal
  • Reduce amount of reading
  • Faster time to get through same information
in spire basic tools
IN-SPIRE Basic Tools

Document

Viewer

ThemeView

Time

Slicer

Galaxy

Also: Query tool, Group tool, ...

pilot environment
Pilot Environment
  • Analysts in normal work environment
  • IN-SPIRE running on regular workstation
  • Analysts use as time allows, on questions pertinent to their work
  • Normal data, but alternate query tool
  • Assess question most pertinent to analysts: does it help me with my data and my issues?
example user value less time on query syntax lower risk of information loss
Example User Value: Less Time on Query Syntax; Lower Risk of Information Loss

Data collection: news stories matching simple Boolean on Pakistan

Green dots: Documents that would be excluded by

“not (cricket or wicket or champion*)”

Cricket-related

examples of user value
Examples of User Value
  • Better structuring of daily reading material
  • Easier to identify non-relevant material
  • Useful information from speculative large queries
  • Thinking about the issue and information in new ways
examples of issues
Examples of Issues
  • Novice vs. expert usage and benefits
  • Galaxy too static
  • Clusters not relevant for some users
  • Data glitches
  • Pragmatics: print, save, ...
adapting to user process new analytic feature
Adapting to User Process: New Analytic Feature
  • Common user processes
    • Linear path through information
    • Convergent/divergent phases
  • Static visualization does not support well
support convergent divergent process
Support Convergent/Divergent Process
  • Select or query to choose documents of interest
  • Move rest down
  • Interest documents recluster and reproject to show new themes
  • Move full set back up and repeat
adapting to user process interface to legacy system
Conserve existing user query

Add additional broader one

Combine and show relationship

Smooth interface to current tools critical

Adapting to User Process: Interface to Legacy System
potential tension correct vs useful representations18
Potential Tension: “Correct” vs. “Useful” Representations
  • Themes of interest may not be dominant
    • not dominant within data collection
    • not dominant within documents
  • Users need way to “steer” to more interesting themes and relationships
  • Minimal demands on user input
  • Clear that steering in effect
support analytic flow
Support Analytic Flow
  • Research or monitoring
    • find important information
    • quicker process
  • Analysis
    • convergent/divergent thinking
    • identify new hypotheses
  • Drafting/editing reports
    • summarize results
    • capture citation, annotate, print
bucket of data mismatch
Bucket of Data Mismatch
  • Many tools work on fixed collection
  • Users’ data is much more fluid
    • query results this morning
    • more documents this afternoon
    • new query term added
  • Users can’t afford to redo work
data the good the bad and the ugly
Data: the Good, the Bad, and the Ugly
  • Ideal is not real world
  • Tags in “wrong” place
  • Meta data within text
  • Missing field labels
  • “Is it useful on my data?”
conclusions
Conclusions
  • Information visualization can provide useful benefits for analysts
  • Need features to match user process
  • Need careful bridge to other user tools
  • Address challenges, even if not central to tool