Visualized LifeTools and Applications for Personal Analytics

Gene Leybzon, August 2015

Tools to collect personal-relevant information for

Self-monitoring Self-reflection

to gain knowledge about behaviors habits thoughts

What is Personal Analytics?

From Data Collection to Actionable Suggestions

Activity Sensing and Data Collection

Data Analysis

Visualization &

Interpretation

Support for decision making

1. Activity Sensing and Data Collection

Physical Activity Sleep Mood Food and drink Social media participation Productivity

Sensing and Measuring

Cameras Motion sensors IoT devices (locks, lights, etc) GPS Wrist bands and other wearable devices Smart fabric Psychometric assessments

Instruments for measurement

Ambient Sensors

Wearable sensors

Non-wearable devices

Data input devices

2. Data Analysis Sleep Example

Sleep Data AnalysisRaw Data

Sleep Data AnalysisFind Averages

Sleep Data AnalysisFind Sleep stages by Day of Week

Sleep Data AnalysisSleep Duration

Sleep Quality over time

Sleep Duration correlation with Sleep Quality

Sleep Duration correlation with Sleep Quality

Caffeine intake correlation with Sleep Duration

Need to know about other sleep affecting factors

Environment Light Temperatu

re

Humidity Food Exercise

3. Approaches to Analytics Data Visualization

1. Just showing “row” data

2. Compare your data to others

2a. Compare your data to famous

3. Be inventive in the way data is shown

4. Dump a lot of data on users and let them make connections

5. Show numbers instead of graphs

6. Focus on data correlations

7. Data collected over long period of time

8. Data with automatic interpretation

4. Support for decision making

Personalized Visualizations

Presenting data in a way it can lead to conclusions and behavior changes

Predictive Personal Analytics(we are not there yet)