Visualized life tools and applications for personal analytics
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Transcript of Visualized life tools and applications for personal analytics
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)