UMD CMSC 838S - Dynamic Queries for Visual Information Seeking

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Dynamic Queries for Visual Information Seeking Ben ShneidermanOutlineFavorite SentenceDynamic QueriesWhy They Are GoodHome FinderHome Finder (Text)UNIX - LsChemical TableDynamapsFilmfinderGlobal Change Master DirectoryUser Study ResultsAdvantagesDisadvantages and Research DirectionsDisadvantages and Research Directions (Cont.)Filter/flow MapEnhanced Dynamic Queries Via Movable FiltersRestrictions of Dynamic Queries (Motivation)Slide 20Boolean Queries By CompositionExample of CompositionExamples : - Database : US Census Data - Lens Manager Server : X Window SystemSlide 24Slide 25Alternate ViewsSimultaneous Multiple ViewsBoolean FilterExtensions : Real-valued FilterSlide 30Missing DataSlide 32ConclusionCritiqueSlide 35Dynamic Queries for Visual Information Seeking Ben ShneidermanJin TongHyunmo KangCmsc838Sep. 28, 1999Outline•Dynamic Queries•Examples of DQ Applications•Advantages of DQ•Disadvantages of DQ•Enhance DQ via Movable Filters (Magic Lens)•Video Clip of Magic Lens•Boolean Queries by Composition•Example of Query Composition•Conclusion and CritiqueFavorite Sentence•“Visualization offers a method for seeing the unseen”Dynamic Queries•Interactive user control•Visual query parameters adjustment•Animated visual display of query resultsWhy They Are Good•For novices:- Don't have to learn SQL- Avoid syntax errors- Natural, aid comprehension•For power users:- Helpful in finding patterns- Explore and discoverHome FinderHome Finder (Text)UNIX - LsChemical TableDynamapsFilmfinderGlobal Change Master DirectoryUser Study ResultsAdvantages•Visual presentation of query components•Visual presentation of results•Rapid, incremental and reversible actions•Selection by pointing (user interface improvement: what about voice command) •Immediate and continuous feedback (related: tight-coupling of DQ filters)Disadvantages and Research Directions•DBMS and display related performance problems* Data accessing algorithms* Display/screen management• User interface (domain dependent)Disadvantages and Research Directions (Cont.)•GUI issues (widgets, representations, etc)• Input methods• Novel user interface for complex queriesFilter/flow MapEnhanced Dynamic Queries Via Movable FiltersKen FishkinMaureen C. StoneRestrictions of Dynamic Queries (Motivation)•The number of attributes is limited by the number of selectors•The effect of combining slider filters is strictly conjunctive•The effects of the selectors are global•The number of selectors is fixed in advanceEnhanced Dynamic Queries Via Movable Filters•Combining the two techniques :The starfield display, the movable filter•Enhancing the starfileld display by augmenting it with the flexibility and the functionality of the movable filterBoolean Queries By Composition•Lens L=(F, M) - F : filterDescribing the output calculation for the filter on some datum - M : boolean operatorDescribing how that output is combined with the output from lower filtersExample of Composition•L1=(F1, OR), L2=(F2, AND)- L1 over L2  (F1 OR F2)- L2 over L1  (F2 AND F1)•N=(NULL, NOT) : inverting lens•Compound lens- (F1 AND F2) OR (F3 AND F4)Examples :- Database : US Census Data- Lens Manager Server : X Window SystemExample of CompositionExample of CompositionAlternate ViewsSimultaneous Multiple ViewsBoolean FilterExtensions : Real-valued FilterExtensions : Real-valued FilterMissing DataMissing DataConclusion•Expressive yet easy to understand•Powerful queries(boolean and real-valued)•Visual and semantic transformation of the data (callout, magnification, missing data, sorting, and so forth)•Wide range of interface operations (click-through tools)Critique•No statistics on the usability tests •Need rapid search & rapid graphical display•Application specific programmingFavorite Sentence•“There is a tension in the database query systems between providing expressive power and ease of


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UMD CMSC 838S - Dynamic Queries for Visual Information Seeking

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