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Analysis Experiences Using Information Visualization
Beth Hetzler
Alan Turner
Realizing Value from Visual Analysis Tools
Sound algorithms (representation, clustering, projection, etc.)
Visualization conveys useful informationInteraction natural and easy to learnUser able to profit from visualization (*)Concepts fit user model(s) and process (*)System works acceptably in user
environment (*)
Analysts’ Environment
Lots of information, variety of sources Constantly more new informationTime pressureDifficult to tell what is pertinent without
reading or skimmingMay be learning new subject areaMay not be expert in computer science
Analytic Environment (cont.)
Maintain expertise in particular areasbroad issues over timechanging vocabulary, evolving themes“Tyranny of the inbox”
Ad hoc questions on short fuselittle time to hone queries
Need to provide and support judgementRisks of satisficing
Analysts’ Dilemma
419 Query 2
24 on-topic
8 cut andpaste
2000 in Database
3 key
725 Query 1
6 High Profit
3 HighProfit
28 read
Participant 5: 96 minutesExperience: 17 yearsQuery 1: ESA | (european & space & agency)Query 2: (ESA | (european & space & agency)) > (19960601) Infodate
419
28
Key documents
Key documents that are high profit
High profit documents
Legend
©1999 Patterson
With permission of Emily Pattersonn
S2: 73 minutesesa & ariane*(esa & ariane*) & failure
S3: 24 minuteseurope 1996(europe 1996) & (launch failure)(europe 1996) & ((launch failure):%2)
S4: 68 minutes(european space agency):%3 & ariane & failure & (launcher |rocket))
S6: 32 minutes1996 & Ariane(1996 & Ariane) & (destr* | explo*)(1996 & Ariane) & (destr* | explo*) & (fail*)
S7: 73 minutessoftware & guidance
S8: 27 minutesesa & arianeariane & 5(ariane & 5):%2((ariane & 5):%2) & (launch & failure)
S9: 44 minutes1996 & European Space Agency & satellite1996 & European Space Agency & lost1996 & European Space Agency & lost & rocket
161
29
22
5
169
15
S5: 96 minutesESA | (european & space & agency)(ESA | (european & space & agency)) > (19960601) Infodate
419
28
7
18466
14 12
194
4
29
Key documents Key documents that are high profitHigh profit documents
©1999 Patterson With permission of Emily Patterson
What Could It Mean to “Address Information Overload?”
Reduce time spent crafting queriesReduce risk of eliminating important informationIncrease chance of recognizing important
informationAbility to handle more documentsImprove ability to structure information perusalReduce amount of readingFaster time to get through same information
IN-SPIRE Basic Tools
ThemeView
Galaxy
DocumentViewer
TimeSlicer
Also: Query tool, Group tool, ...
Pilot Environment
Analysts in normal work environmentIN-SPIRE running on regular workstationAnalysts use as time allows, on questions
pertinent to their workNormal data, but alternate query toolAssess 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
Cricket-related
Data collection: news stories matching simple Boolean on Pakistan
Green dots: Documents that would be excluded by “not (cricket or wicket or champion*)”
Examples of User Value
Better structuring of daily reading material
Easier to identify non-relevant materialUseful information from speculative
large queriesThinking about the issue and information
in new ways
Examples of Issues
Novice vs. expert usage and benefitsGalaxy too staticClusters not relevant for some usersData glitches Pragmatics: print, save, ...
Adapting to User Process: New Analytic Feature
Common user processesLinear path through informationConvergent/divergent phases
Static visualization does not support well
Supporting Linear Path: Progressively Move Data Aside
Support Convergent/Divergent Process
Select or query to choose documents of interest
Move rest downInterest 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
Potential Tension: “Correct” vs. “Useful” Representations
Potential Tension: “Correct” vs. “Useful” Representations
Themes of interest may not be dominantnot dominant within data collectionnot dominant within documents
Users need way to “steer” to more interesting themes and relationships
Minimal demands on user inputClear that steering in effect
Support Analytic FlowResearch or monitoring
find important informationquicker process
Analysisconvergent/divergent thinkingidentify new hypotheses
Drafting/editing reportssummarize resultscapture citation, annotate, print
Bucket of Data Mismatch
Many tools work on fixed collectionUsers’ data is much more fluid
query results this morningmore documents this afternoonnew query term added
Users can’t afford to redo work
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
Information visualization can provide useful benefits for analysts
Need features to match user processNeed careful bridge to other user toolsAddress challenges, even if not central to
tool