JASS 2005 Next-Generation User-Centered Information Management Information visualization Alexander...

JASS 2005Next-Generation User-Centered Information Management

Information visualization

Alexander S. Babaev

[email protected]

Faculty of Applied Mathematics and Control ProcessesSaint Petersburg Government University

www.apmath.spbu.ru

Information visualizationI. IntroductionII. Information needsIII.Information perceptionIV.Current situationV. Conclusion

[Introduction] Information needs

Information perception Current Situation

ConclusionI. Introduction• I am: User

• My task: Get Information

• Solution: …

www.google.com



Conclusion

• Text-based

• Ranked list

• Hundreds (thousands) of results for most queries

• Grouped by 10 per page

• Hit description: – Page title– Short Extract from page– Link

• Advanced features

Main Features:



ConclusionIs it so good?

Some results for query “Information visualization”

Disadvantages: Bad descriptions

Too many hits



Conclusion



ConclusionApproachesI. www.Kartoo.com

II. www.Vivisimo.com



ConclusionKartooI. Advantages:

• Fancy• Grouping Approach• Uses results from other engines

II. Disadvantages• Doesn't solve the problems• Complicated



ConclusionVivisimoI. Advantages:

• “Clustering” Approach• Uses results from other engines

II. Disadvantages• Clustering method?• The same “old problems”



Conclusion

Introduction [Information needs]

II. Information needsSuccessful search in many aspects depends on a type of information you are searching!

Examples:

• In Blogs

• Pictures / Multimedia

• Maps

• Software

• Statistics

• Specific document format

Introduction[Information needs]


ConclusionClassification

Information need

Solution

Known-item Search system, site index

Exploratory/ orientation

TOC/site map, guide, top levels of hierarchy

Open-endedGuide, hierarchy, search wizard, easy switching between

search and browse, collaborative filtering

Selective research

Search system, filtered results through use of search zones

Comprehensive research

Search system, expanded results through use of thesaurus



ConclusionSituation• We have different information needs and no common search engine for all

• We have many engines for specific search



ConclusionIVLInformation visualization language

Information visualization

interface

Query translator

Search engine

Transformation engine

III. Information perception



Conclusion

IntroductionInformation needs

[Information perception] Current Situation

Conclusion

Successful search – convenient search.

• Google: • Text• 10 per page• 3 describing elements

• Kartoo:• colorful map• More than 10 per page• 3 describing elements

• Vivisimo• Text• ~10 per page• 3 describing elements + cluster name

Miller’s magicalnumber seven



Conclusion

Short-term memory is limited to 7+/- 2 objects

• Long lists are bad

• Effectively use all possible dimensions

Display dimensionsIntroduction

Information needs [Information perception]

Current Situation Conclusion

• Attribute Resolution

• Number of Attributes

• Explicit and Implicit Grouping

• Natural Interactivity

• Views and Cues

• Sequential and Parallel Presentation



ConclusionHow to measure?

1. Recall: a measure of how well the relevant results are represented in the data returned, being the ratio of the number of relevant retrievals to the total number of

relevant documents in the collection.

2. Precision: a measure of how much of what is returned is relevant, being the ratio of the number of relevant retrievals to the

total number of retrieved documents.



ConclusionHow to measure?• Time• Number of interface interactions• Number of refinements• User opinion• Cognitive load• Number of errors• Learning curve• Effective use of screen real estate• Number of results displayable• Mode of use• Multi-session support• Significance• Bandwidth

IV. Current situationIntroduction

Information needs [Information perception]

Current Situation Conclusion


Information perception[Current Situation]

Conclusion

• A very query-dependant search

• Cognitive load at results evaluation

• Need to change query



ConclusionHow to improve ?Clustering?

Advantages:

• Browse through clusters (relevant topics)

• Know about each exact hit more

• Decline non-relevant parts of search space



ConclusionSOPHIASophisticated Analyzing system

• Enterprise search engine

Some facts:

• Good algorithm

• Non-commercial web-interface version

V. ConclusionIntroduction

Information needsInformation perception

[Current Situation] Conclusion


Information perceptionCurrent Situation

[Conclusion]

• There are some great visualization problems in popular search engines

• There are ways to improve situation

• There are approaches to improve situation, but not so many researches on this topic

V. ConclusionIntroduction

Information needsInformation perception

Current Situation[Conclusion]

• There are some great visualization problems in popular search engines

• There are ways to improve situation

• There are approaches to improve situation, but not so many researches on this topic

Thank you for your attention

Do you have any Questions

!

?

Case study ?

Case study

Try to measure the effectiveness of visualization of one of given search engines

and give some recommendations.

Team1 : www.google.comTeam2 : www.kartoo.comTeam3 : www.vivisimo.com

JASS 2005 Next-Generation User-Centered Information Management Information visualization Alexander...

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