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LifeFlow: Visualizing an Overview of Event Sequences

Hyelan

CHI 2011 - Session: Visual Analytics

Krist WongsuphasawatJohn Alexis Guerra GomezCatherine PlaisantTaowei David WangBen ShneidermanMeirav Taieb-Maimon

INTRODUCTION

- Event sequences are series of timestamped event

- Event sequence analysis

1) the sequence of eventse.g. arrival > ICU

2) time gaps between eventse.g. ER > (after 5 hours) > ICU

- Rangefrom examining a single record in detail to various ways of filtering and searching multiple records

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MOTIVATION

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MOTIVATION

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Event Definition- ER (Emergency Room)- ICU (Intensive Care Unit)- IMC (Intermediate Care)- Floor

s Z ?�- summary of all the transfer sequences and their temporal attributes

LIFEFLOW DISPLAY

1) Aggregation

2) Visualization

LIFEFLOW DISPLAY

RELATED WORK

1) Temporal Data Visualization2) Hierarchy Visualization

RELATED WORK 1) Temporal Data Visualization

Single Record Visualization- long history of visualizing event sequences- most common approach > timeline-based - e.g. 9_ �l � 3g �(c W$�g row' D, ��g row� � h8�g {�.- g5

Visualization of multiple records in parallel- most common approach > stack instances of single-record - ring / spiral- typically provide searching and filtering mechanisms- e.g. 9_ �l � 3g �(c W$�g row' D, ��g row� � h8�g {�.- g5

Visualization of combined records- �mDg �;- provide an abstraction of multiple records- h8�g >�- �H��#b' :Ws��(Continuum), J�ni N1.- :Ws� 67� ke(LifeLines2)W$�g row' D, ��g row� � h8�g {�.- g5- h 67c J�V ", h8�g <�- :Ws�� ru/ � J}H�g ‘��’- �P��� S&]

Spiral timeline

RELATED WORK 2) Hierarchy Visualization

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- Hierarchical Structures

Hyperbolic Tree Circular Treemap

Rectangular Treemap Icicle Tree

Sunburst Tree Sunray Tree

Phylogenetic Tree

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LIFEFLOW INTERACTIVE FEATURES

LIFEFLOW INTERACTIVE FEATURES

EVALUATION

� �g case study >> user study (?[D, �ID ��)

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 |.- ?[�A V$- xO�� �:� G]- ��� F kU� =o@n J}H- xO��� [h�

EVALUATION: Case Study I (medical domain)

EVALUATION: Case Study II (transportation domain)

SUMMARY

LIFEFLOW

Temporal data Visualization

> to Overview of the Data> allow users to Understand patterns and find anomalies> easy to learn in a short period