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Exposing Trends and Relationships to Support Sensemaking within Faceted Datasets

FacetLens. Exposing Trends and Relationships to Support Sensemaking within Faceted Datasets. Bongshin Lee, Greg Smith, George Robertson, Mary Czerwinski, Desney Tan Computational User Experiences (CUE) Visualization and Interaction Research Group Microsoft Research. Motivation.

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Exposing Trends and Relationships to Support Sensemaking within Faceted Datasets

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  1. FacetLens Exposing Trends and Relationships to Support Sensemaking within Faceted Datasets Bongshin Lee, Greg Smith, George Robertson, Mary Czerwinski, Desney Tan Computational User Experiences (CUE) Visualization and Interaction Research Group Microsoft Research

  2. Motivation • Explore large metadata-rich collections of information • Provide a more effective and enjoyable searching and browsing user experience with faceted browsing • Show meaningful trends in data • Show relationship between items

  3. History of CHI: Pop Quiz 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?

  4. Faceted Browsing • Facet: Grouping of item attributes • Multiple 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)

  5. Faceted Browsing Relation Browser++ [Digital Gov. Research ‘05] FacetMap [InfoVis ‘06] Flamenco [CHI ‘03] + many commercial online shopping sites

  6. Trend Visualization • Multiple bar charts • IN-SPIRE [InfoVis ‘04] • PaperLens [CHI ‘05] • NetLens [IVS ‘07] • Stacked bar charts • ThemeRiver [TVCG ‘02] • NameVoyager [InfoVis ‘05] • Stacked Graphs [InfoVIs ‘08] + many commercial tools (e.g., Microsoft Excel, Tableau [InfoVis ‘07], ...)

  7. Trend Visualization: Facet-based Bungee View http://cityscape.inf.cs.cmu.edu/bungee/ Relation Browser++ [Digital Gov. Research ‘05] • InfoZoom [DM ‘00]

  8. FacetLens = + + Additional features… • Faceted Browsing • Trend Vis

  9. FacetLens: Linear Facets • Identify and Compare Trends • Attribute values are visually presented in an explicit order (e.g., time)

  10. FacetLens: Pivoting • Navigate 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

  11. FacetLens: Multi-value Facet • Reveal Relationships • Attribute co-occurrence • Co-authorship • Co-citations • When an item can have multiple simultaneous values for the same facet

  12. FacetLens: Attribute Value Search • Scaling to Large Datasets • All the attribute values often cannot fit in the allocated screen space

  13. Evaluation: Expert Use • 2 datasets • ACM CHI Publications • 23 years (1982-2004) • 4073 papers & 6300 authors • Topics, Authorship, Affiliations, … • Find insights • Initial overview • Simple filtering • Further exploration • OECD grant data • 32 years (1974-2005) • about 1M inter-county grants • Donors, Recipients, Purposes, … Demo

  14. Usability Study: Novice Use • 5 researchers and 1 developer (2 females) • ACMCHI Publications dataset • 9 tasks • begin with simple tasks and then gradually increase complexity • 2 tasks consist of 2 sub-tasks • 1 task consists of 3 sub-tasks • Lasted about 30 minutes

  15. User study tasks • Which author publishes the most frequently in the topic of CSCW? • What are the affiliations of the two authors from China? • a. How many papers did Irene Grief author? b. Which year did she publish the most? • Which co-author did Brad Myers publish with most frequently? • In what year was Hiroshi Ishii cited by the most papers? • 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? • Compare the publication trends for Lab Reports by year and CSCW papers by year. How do they differ? • 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? • Describe three facts about Randy Pausch.

  16. Results • Overall, easy to use • Easy, Useful and Interesting • Trend visualization • Drag and drop interaction • Attribute search within the facets • Missing: undo • Semantics of facets are difficult to express • Symmetric relationship • Multi-value facets

  17. Conclusion • FacetLens supports exploration of a large faceted datasets by exposing trends and relationships • Future Work • Improve navigation • Paper & Author vs. Paper-centric • Scale to larger datasets • Longitudinal study

  18. Thank You! http://research.microsoft.com/cue/facetlens Questions?

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