Quantified Self: Self Tracking for Health Andreas Schreiber <andreas.schreiber@medando.de> 4 th International TEMOS Conference, Bonn, 02.12.2013
Introduction Scientist, Head of department Co-Founder, CEO Co-Founder Slide 2
My Motivation Quantified Self track myself With sensors With smartphone apps Slide 3
Quantified Self Slide 4
What is Quantified Self? Self-knowledge through numbers Analyze trends and set goals to improve yourself Recording of daily activities Fitness, sleep, location, Monitoring and display of information from various devices, services, and applications Slide 5
Other Terms Self Tracking Life Hacking Life Logging Slide 6
Google Trends: Quantified Self & Health Apps Slide 7
Quantified Self Meetups Slide 8
Objects of Tracking: Health-oriented Well-being-oriented Body Mood Addictions Physical activities Nutrition Other Directly health-oriented Chronic diseases No-chronic diseases General medication Symptoms Blood test results Insulin intake Blood sugar General daily records about health state Slide 9
Objects of Tracking: Not-health-oriented Environmental Temperature Ozone conzentration Atmospheric pressure Location Rain Clouds Relationships Frequency Quality Sex Other Finance ToDos Delays (Train, etc.) Slide 10
Motivation Slide 11
What People are Tracking? 70% 60% 50% 40% 30% 20% 10% 0% Health Environment Finance Nutrition Fitness Germany Slide 12 Studie QlikTech, August 2013
Motivations Five motivations Self-Design Self-Entertainment Self-Association Self-Discipline Self-Healing Slide 13
Motivation Self-Design Self-Design motivated by the possibilities of self-optimization Slide 14
Motivation Self-Entertainment Self-Entertainment motivated due to the pleasure-bringing aspects of selftracking Slide 15
Motivation Self-Association Self-Association motivated by the prospect of community citizenship and selfindividualizing aspects within a community Slide 16
Motivation Self-Discipline Self-Discipline motivated due to the self-gratification possibilities of selftracking Slide 17
Motivation Self-Healing Self-Healing motivated by the self-healing possibilities of self-tracking Slide 18
Mean Motivation (Range 1-5) Self-Healing Self-Discipline Self-Association Self-Entertainment Self-Design 0 0,5 1 1,5 2 2,5 3 3,5 4 4,5 Well-being and health Well-being All Source: Marcia Nißen, Quantified Self An Exploratory Study on the Profiles and Motivations of Self-Tracking, Bachelor Thesis (2013) Slide 19
Self-Assesment of Self-Tracking Categories Source: Marcia Nißen, Quantified Self An Exploratory Study on the Profiles and Motivations of Self-Tracking, Bachelor Thesis (2013) Slide 20
Self Experiments Design experiments Measure results Improve yourself Slide 21
Wearable Sensors, Devices, and Apps Slide 22
Technologies for Self-Tracking 70% Deployed technologies for self-tracking 60% 50% 40% 30% 20% 10% 0% Mobile hardware (smartphones) and software (apps) Web- and desktop applications Self-tracking hardware Self-made desktop tools (spreadsheets etc.) Pen and paper Other Source: Marcia Nißen, Quantified Self An Exploratory Study on the Profiles and Motivations of Self-Tracking, Bachelor Thesis (2013) Slide 23
Steps Slide 24
Activity Slide 25
Blood Pressure Slide 26
Weight Slide 27
Stress Slide 28
Sleep Slide 29
Coffee, Medication, Expenses, Slide 30
Medando: BloodpressureCompanion Slide 31
Medando: WeightCompanion Slide 32
Wearable Technology Source: http://www.beechamresearch.com/article.aspx?id=20 Slide 33
Many Devices, Sensors and Apps Data Exchange: The Internet of Things Slide 34
Notification on Android Slide 35
Sharing Slide 36
Data Analytics Slide 37
Steps (Fitbit) Slide 38
Steps (Fitbit) Slide 39
Weight (Withings) Slide 40
Body Fat (Withings) Slide 41
Activity (Nike Fuelband) Slide 42
Activity & Location (Moves) Slide 43
Blood Pressure vs. Weight Slide 44
hgraph Slide 45
To be continued Big Data Slide 46
Conclusions Quantified Self community is growing Many more devices and apps Mobile! Wearable! Data analytics at the beginning Slide 47
Discussion Andreas.Schreiber@medando.de @MedandoDE @onyame Slide 48