bongshin lee, greg smith, george robertson, mary czerwinski, desney tan computational user...
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Bongshin Lee, Greg Smith, George Robertson, Mary Czerwinski, Desney Tan
Computational User Experiences (CUE)Visualization and Interaction Research Group
Microsoft Research
Exposing Trends and Relationships to Support Sensemaking within Faceted
Datasets
FacetLens
MotivationExplore large metadata-rich collections of information
Provide a more effective and enjoyable searching and browsing user experience with faceted browsing
Show meaningful trends in dataShow relationship between items
Who has Brad published with?
What InfoVis papers did Stu, Jock, and George co-author in 1991?
How many times has Hiroshi been cited by CHI papers?
How has Ben’s publication pattern changed over the years?
History of CHI: Pop Quiz
Faceted Browsing
Facet: Grouping of item attributesMultiple paths to any item
Faceted Browsing: Integration of facets with dynamic query previews
Studies have shown performance and preference advantages (e.g., Flamenco, CHI ’03)
Faceted Browsing
FacetMap [InfoVis ‘06]Flamenco [CHI ‘03] Relation Browser++[Digital Gov. Research
‘05]
+ many commercial online shopping sites
Trend VisualizationMultiple bar charts
IN-SPIRE [InfoVis ‘04]PaperLens [CHI ‘05]NetLens [IVS ‘07]
Stacked bar chartsThemeRiver [TVCG ‘02]NameVoyager [InfoVis ‘05]Stacked Graphs [InfoVIs ‘08]
+ many commercial tools (e.g., Microsoft Excel, Tableau [InfoVis ‘07], ...)
Trend Visualization: Facet-based
InfoZoom [DM ‘00]Relation Browser++[Digital Gov. Research
‘05]
Bungee Viewhttp://cityscape.inf.cs.cmu.edu/
bungee/
FacetLens =
Faceted Browsing
Trend Vis
+ + Additional features…
FacetLens: Linear FacetsIdentify and Compare Trends
Attribute values are visually presented in an explicit order (e.g., time)
FacetLens: PivotingNavigate between Related Items
navigate further into related items whether or not filters have been exhausted
Enabled by allowing items to be attributes of other items
FacetLens: Multi-value FacetReveal Relationships
Attribute co-occurrenceCo-authorshipCo-citations
When an item can have multiple simultaneous values for the same facet
FacetLens: Attribute Value SearchScaling to Large Datasets
All the attribute values often cannot fit in the allocated screen space
Evaluation: Expert Use2 datasets
ACM CHI Publications23 years (1982-2004)4073 papers & 6300 authorsTopics, Authorship, Affiliations, …
Find insightsInitial overviewSimple filteringFurther exploration
OECD grant data32 years (1974-2005)about 1M inter-county grantsDonors, Recipients, Purposes, …
Demo
Usability Study: Novice Use5 researchers and 1 developer (2 females)ACMCHI Publications dataset9 tasks
begin with simple tasks and then gradually increase complexity2 tasks consist of 2 sub-tasks1 task consists of 3 sub-tasks
Lasted about 30 minutes
1. Which author publishes the most frequently in the topic of CSCW?
2. What are the affiliations of the two authors from China?3. a. How many papers did Irene Grief author?
b. Which year did she publish the most?4. Which co-author did Brad Myers publish with most
frequently?5. In what year was Hiroshi Ishii cited by the most papers?6. a. Who was Ben Shneiderman’s most frequent coauthor in
the Info Vis topic area?b. How many papers did they publish together in Info Vis?c. Which year did they publish the most together?
7. Compare the publication trends for Lab Reports by year and CSCW papers by year. How do they differ?
8. a. Find the authors of the paper “The Perspective Wall.” Which states did they live in?b. Pivot to the papers authored by Jock Mackinlay. Which paper did his papers cite the most?
9. Describe three facts about Randy Pausch.
User study tasks
Results
Overall, easy to use
Easy, Useful and Interesting
Trend visualizationDrag and drop interactionAttribute search within the facets
Missing: undo
Semantics of facets are difficult to express
Symmetric relationshipMulti-value facets
ConclusionFacetLens supports exploration of a large faceted datasets by exposing trends and relationships
Future WorkImprove navigationPaper & Author vs. Paper-centricScale to larger datasetsLongitudinal study
Thank You! http://research.microsoft.com/cue/facetlens
Questions?