(발제)LifeFlow:Visualizing an Overview of Event Sequences:CHI2011-Krist Wongsuphasawat/정혜란x2011 summer
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(발제)LifeFlow:Visualizing an Overview of Event Sequences:CHI2011-Krist Wongsuphasawat/정혜란x2011 summer

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  • 1. 정혜란
  • 2. LifeFlow:Visualizing an Overview of Event Sequences Hyelan CHI 2011 - Session:Visual Analytics Krist Wongsuphasawat John Alexis Guerra Gomez Catherine Plaisant Taowei David Wang Ben Shneiderman Meirav Taieb-Maimon
  • 3. INTRODUCTION - Event sequences are series of timestamped event - Event sequence analysis 1) the sequence of events e.g. arrival > ICU 2) time gaps between events e.g. ER > (after 5 hours) > ICU - Range from examining a single record in detail to various ways of filtering and searching multiple records - ‘ ’
  • 4. MOTIVATION ,
  • 5. MOTIVATION ( bounce back monitoring) Event Definition - ER (Emergency Room) - ICU (Intensive Care Unit) - IMC (Intermediate Care) - Floor - summary of all the transfer sequences and their temporal attributes
  • 6. LIFEFLOW DISPLAY 1) Aggregation 2)Visualization
  • 7. LIFEFLOW DISPLAY
  • 8. RELATED WORK 1) Temporal DataVisualization 2) HierarchyVisualization
  • 9. RELATED WORK 1) Temporal Data Visualization Single RecordVisualization - long history of visualizing event sequences - most common approach > timeline-based - e.g. row , row Visualization of multiple records in parallel - most common approach > stack instances of single-record - ring / spiral - typically provide searching and filtering mechanisms - e.g. row , row Visualization of combined records - - provide an abstraction of multiple records - (Continuum), (LifeLines2) row , row - ‘ ’
  • 10. Spiral timeline
  • 11. RELATED WORK 2) Hierarchy Visualization - hierarchy structure - Hierarchical Structures Hyperbolic Tree Circular Treemap
  • 12. Rectangular Treemap Icicle Tree
  • 13. Sunburst Tree Sunray Tree
  • 14. Phylogenetic Tree - - LifeFlow , ( ),
  • 15. LIFEFLOW INTERACTIVE FEATURES
  • 16. LIFEFLOW INTERACTIVE FEATURES
  • 17. EVALUATION case study >> user study ( , ) CASE STUDY I: Medical Domain - Washington Hospital Center - quickly see the big picture - easy to find anomalies - formulating queries easily - useful for long-term monitoring and quality control CASE STUDY II:Transportation Domain - Center for Advanced Transportation Technology Laboratory at the University of Maryland - SQL -
  • 18. EVALUATION: Case Study I (medical domain)
  • 19. EVALUATION: Case Study II (transportation domain)
  • 20. SUMMARY LIFEFLOW Temporal dataVisualization > to Overview of the Data > allow users to Understand patterns and find anomalies > easy to learn in a short period