Overview of tools and instruments for collecting, analyzing, and visualizing personal analytics data

1. Visualized Life
Tools and Applications
for Personal Analytics
Gene Leybzon, August 2015

2. Tools to collect personal-relevant information for
 Self-monitoring
 Self-reflection
to gain knowledge about
 behaviors
 habits
 thoughts
What is
Personal Analytics?

3. From Data Collection to
Actionable Suggestions
Activity Sensing and
Data Collection
Data Analysis
Visualization &
Interpretation
Support for
decision
making

4. 1. Activity Sensing and
Data Collection

5.  Physical Activity
 Sleep
 Mood
 Food and drink
 Social media participation
 Productivity
Sensing and Measuring

6.  Cameras
 Motion sensors
 IoT devices (locks, lights, etc)
 GPS
 Wrist bands and other wearable devices
 Smart fabric
 Psychometric assessments
Instruments for measurement

7. Ambient Sensors

8. Wearable sensors

9. Non-wearable devices

10. Data input devices

11. 2. Data Analysis
Sleep Example

12. Sleep Data Analysis
Raw Data

13. Sleep Data Analysis
Find Averages

14. Sleep Data Analysis
Find Sleep stages by Day of Week

15. Sleep Data Analysis
Sleep Duration

16. Sleep Quality over time

17. Sleep Duration correlation
with Sleep Quality

18. Sleep Duration correlation
with Sleep Quality

19. Caffeine intake correlation
with Sleep Duration

20. Need to know about
other sleep affecting factors
Environment Light Temperature
Humidity Food Exercise

21. 3. Approaches to
Analytics Data
Visualization

22. 1. Just showing “row” data

23. 2. Compare your data to others

24. 2a. Compare your data to famous

25. 3. Be inventive in the way data is
shown

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

27. 5. Show numbers instead of graphs

28. 6. Focus on data correlations

29. 7. Data collected over long period of
time

30. 8. Data with automatic interpretation

31. 4. Support for
decision making

32. Personalized Visualizations

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

34. Predictive Personal Analytics
(we are not there yet)