Interactive Event Sequence Query and Transformation

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Presentation transcript:

Interactive Event Sequence Query and Transformation Megan Monroe, Sana Malik, Chris Imbriano, Fan Du, Catherine Plaisant, and Ben Shneiderman

Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up 6:02am – 11:00pm Work on Dissertation

Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up 6:02am – 11:00pm Work on Dissertation

Temporal Event Data 6:01am Coffee 11:01pm Netflix Me: 6:00am Wake Up 6:02am – 11:00pm Work on Dissertation

EventFlow

EventFlow Check Airway Breath Sounds Pulse GCS Secondary Survey

Time Number of Records

EventFlow

Data Analysis

Data Analysis + Visualization

Data Analysis + Visualization

Analysis + Viz Insight

Data Analysis + Visualization

Insight $#!%! Analysis + Viz

Data Hi. Analysis + Visualization

1 2 3 QUERY

1 2 3

1 2 10 records selected 3

1 2 3 Monroe et al., CHI, 2013.

English Actual Query OR A overlaps B

LABA

New LABA

Other New LABA

Other New LABA Other

QUERY

QUERY TRANSFORMATION

Data doesn’t match study perspective

Data doesn’t match study perspective

Monroe et al., AMIA VAHC Workshop, 2013.

5 d

3 mo

Data Analysis + Visualization

Query + Transformation Data Query + Transformation Analysis + Visualization

Query + Transformation Data Query + Transformation + Visualization Analysis + Visualization

EventFlow

Future work

Contact Me: Megan Monroe madeyjay@umd.edu www.cs.umd.edu/hcil/eventflow/