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Quantified Self: Self Tracking for Health

Andreas Schreiber <andreas.schreiber@medando.de> 4th International TEMOS Conference, Bonn, 02.12.2013

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Introduction

Scientist, Head of department

Co-Founder, CEO

Co-Founder

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My Motivation

Quantified Self – track myself

• With sensors

• With smartphone apps

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Quantified Self

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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

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Other Terms

• Self Tracking

• Life Hacking

• Life Logging

• …

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Google Trends: “Quantified Self” & “Health Apps”

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Quantified Self Meetups

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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

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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.)

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Motivation

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What People are Tracking?

0%

10%

20%

30%

40%

50%

60%

70%

Health Environment Finance Nutrition Fitness

Germany

Studie QlikTech, August 2013

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Motivations

Five motivations

• Self-Design

• Self-Entertainment

• Self-Association

• Self-Discipline

• Self-Healing

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Motivation Self-Design

Self-Design

• motivated by the possibilities of self-optimization

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Motivation Self-Entertainment

Self-Entertainment

• motivated due to the “pleasure-bringing” aspects of self-tracking

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Motivation Self-Association

Self-Association

• motivated by the prospect of community citizenship and self-individualizing aspects within a community

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Motivation Self-Discipline

Self-Discipline

• motivated due to the self-gratification possibilities of self-tracking

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Motivation Self-Healing

Self-Healing

• motivated by the self-healing possibilities of self-tracking

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Mean Motivation (Range 1- 5)

0 0,5 1 1,5 2 2,5 3 3,5 4 4,5

Self-Design

Self-Entertainment

Self-Association

Self-Discipline

Self-Healing

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)

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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)

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Self Experiments

Design experiments – Measure results – Improve yourself

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Wearable Sensors, Devices, and Apps

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Technologies for Self-Tracking

0%

10%

20%

30%

40%

50%

60%

70%

Mobile hardware(smartphones) and

software (apps)

Web- and desktopapplications

Self-trackinghardware

Self-made desktoptools (spreadsheets

etc.)

Pen and paper Other

Deployed technologies for self-tracking

Source: Marcia Nißen, Quantified Self – An Exploratory Study on the Profiles and Motivations of Self-Tracking, Bachelor Thesis (2013)

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Steps

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Activity

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Blood Pressure

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Weight

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Stress

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Sleep

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Coffee, Medication, Expenses, …

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Medando: BloodpressureCompanion

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Medando: WeightCompanion

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Wearable Technology

Source: http://www.beechamresearch.com/article.aspx?id=20

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Many Devices, Sensors and Apps…

Data Exchange: The Internet of Things

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Notification on Android

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Sharing

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Data Analytics

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Steps (Fitbit)

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Steps (Fitbit)

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Weight (Withings)

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Body Fat (Withings)

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Activity (Nike Fuelband)

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Activity & Location (Moves)

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Blood Pressure vs. Weight

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hGraph

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To be continued…

Big Data

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Conclusions

• Quantified Self community is growing

• Many more devices and apps

• Mobile!

• Wearable!

• Data analytics at the beginning

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Discussion

Andreas.Schreiber@medando.de

@MedandoDE | @onyame