Interactive Event Sequence Query and Transformation

Megan Monroe, Sana Malik, Chris Imbriano, Fan Du, Catherine Plaisant, and Ben Shneiderman

Temporal Event Data

Me:

6:00amWake Up

6:01amCoffee

11:01pmNetflix

6:02am – 11:00pm Work on Dissertation

Temporal Event Data

Me:

6:00amWake Up

6:01amCoffee

11:01pmNetflix

6:02am – 11:00pm Work on Dissertation

Temporal Event Data

Me:

6:00amWake Up

6:01amCoffee

11:01pmNetflix

6:02am – 11:00pm Work on Dissertation

EventFlow

Check Airway

Breath Sounds

Pulse

GCS

Secondary Survey

EventFlow

Num

ber o

f Rec

ords

Time

EventFlow

Data

Analysis

Data

Analysis+ Visualization

Data

Analysis + Visualization

Analysis+

VizInsight

Data

Analysis + Visualization

Insight

Analysis+

Viz

$#!%!

Data

Analysis

Hi.

+ Visualization

QUERY1

2

3

1

2

3

10 records selected

1

2

3

Monroe et al., CHI, 2013.

1

2

3

English

A overlaps B

OR

OR

OR

OR

OR

OR

OR

OR

Actual Query

LABA

New LABA

Other New LABA

Other OtherNew LABA

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

Data

Analysis

Query + Transformation

+ Visualization

Data

Analysis

Query + Transformation

+ Visualization

+ Visualization

EventFlow

Future work

Contact Me: Megan Monroe madeyjay@umd.edu

www.cs.umd.edu/hcil/eventflow/