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My Measured Self
Christel De Maeyer
TomorrowBrand 2015
Why – Self Management
What – Self Improvement
How - Tools
Personal Informatics
It is about owerness
Two sides
The Self
Graves disease
The Research
Why
• Interviews and talks learned us that people have to be
confronted with a serious happening before they think
about their life. Something happens and then there is the
reflection
• BUT change is not easy, unless you have to. And even then.
• My shock, Graves disease at severe stadium. If I would have
monitored myself, I would have known things were
changing rapidly – raging heart, very irritated, losing kilo’s,
tremor, moods, etc... (2000)
• Changed my whole lifestyle, upside down, that took years.
The recovery, the process, until the feel good moment.
Why? - because this was not meant to happen twice.
Thoughts
• Self-tracking takes time (current behavior
towards goals)
• Short term tracking versus long term tracking
• Instant gratification versus longer term
thinking
• Perception and the data
• Find people who don’t think you show weird
behavior – social acceptance.
context physiological
holistic view
Intake:
Depending on your lifestyle
Depending your environment
Depending on your discipline
Sources Instagram – Flickr - Facebook
Activity
Depending on the weather
Depending on the mood
Depending on the environment
Routine or not
Sources Instagram – Flickr - Facebook
Sources Instagram – Flickr - Facebook
Work
Depending on your work style/activity
Depending the environment
In and out of comfort zone
Manage your own time
Emotion
Family – parents go into last phase of life
Confrontation with your own life
Friends get ill and die, fast and slow
Moments of joy and happiness
Sources Instagram – Flickr - Facebook
Sleep2014
2012
Frequency
Seasons
Work
Other
Studying – more free time FT Work – Less free time winter
Detail Activity
#Alzheimer is taking over mom’s life
in May- June 2013 – diagnosed
2008
June 11th 2013 hospitalization
Impact
The night before
Conclusion of
Consistent lifestyle
Better Time management
More Productivity
Higher Energy
Feeling Balanced
Feeling HAPPY most of the time!
Personal Informatics a solution for preventive healthcare?
Selfmonitoring
process
Selfmonitoring
process
Goal settingGoal setting
Data interpretationData interpretation
Coaching/feedback
loop
Coaching/feedback
loop
Personal
Coaching
•Observe
•Hypothesize
•Act
•Reflect
•Adjust
•Iterate
Anne Wright, 2014, Self-
tracking: Reflections from
the BodyTrack project
Ananthanarayan, Siek, 2012
Fogg, 2007
Model for understanding
persuasive side of devices and
software application
Fogg, 2008
Simplicity factors depending on
person and context to create more
ability, the more ability the more
motivation
- Time (planning, time available)
- Money
- Braincycles (cognitive effort)
- Physical effort (planning of
physical activity)
- Social acceptance/out of the
ordinary
- Non-Routine
Research set up
When? 7 month study (2012-13)
Who? Non-early adoptors of selftracking with BodyMedia device
Experimental group (N= 10) and Control group (N= 7)
US – San Francisco and Belgium – Ghent area
Research question
Is 24/7 self-monitoring creating enough awareness and persuasion to get a balanced lifestyle?
Will self-monitoring affect general wellbeing among self-monitored people?
Phase Fall ‘12: 3 core motivators:
sensation: pleasure, ‘new’, ‘curiosity’
anticipation: hope, trigger to chage something
social cohesion: being part of a cool thing, group feeling
Phase Winter ‘12-’13
8 out of 10 experimenters
stop selftracking
device created dependencies:
without device =
Back to old routines, less awareness
Phase Spring ‘ 13
3 core motivators turn into negative behavior with some
participants:
Sensation: ‘new’ & ‘curiosity’ gone
Anticipation: confrontation with data
Social cohesion: rejection, outside world reactions
Ability factors/Context factors:
Device:
Fall: feels comfortable, identifies with it, but first signs of ‘Out of the ordinary’
Spring: doing good = takes time, less comfort in long time wearing, outsiders remarks ‘Out of the ordinary’
Behavior:
Fall: small changes creating routines instructed, brain cycles (cognitive investment) made
Spring: due to stop, routine not estasblished, lack of maintenance in habit forming and cognitive effort
Culture and season:
Culture: SF vibrant city, nature aspects, attractive to be active. BE city vs rural area, latter more attractive
Season: SF weather is a trigger to go outside. BE seasonal effect, weather dependency high, less activity
Christel De Maeyer Christel.de.maeyer@vub.ac.be,
Prof. An Jacobs An.Jacobs@vub.ac.be
MEDICINE 2.0 CONFERENCE
Example: one wants to go running, this is a whole set of
behavior changes
• Making time
• Get the right shoes
• Choose running track
• Plan it that one can do it on a regular basis
• Think in baby steps, build it up
• Ultimatly create a routine
Behavior change not easy
Who ?
Sharing
Lifestyle changes
participatoryWeb-based participatory Platform
Data Storage
Tools Using Real-time Data to support Integrated Care
Goals Analytics
FilteringData
Virtual continuous
Coaching
Call to action
Information
e-Health, Vitalink
Peer support
Community Care
Motivation
Interaction
Therapy adherence
Jan Turdics
Care Path
Sharing
Self-monitoring Self-reporting
iMinds
EDM
iMinds
SMIT
iMinds
iLab.o
Aristoco
Cubigo
SPK
Jusbox
Praktijkhuis
2460
Macx
MIC
Interalis
Jan Turdics
Health behavior
temperament
iMinds
EDMIntegration
More adherence for chronic diseases?
Considerations
DataDataPrivacyPrivacy
EthicsEthics
Digital
Literacy
Digital
Literacy
Who owns
the data?
Who owns
the data?
How is the
data used
How is the
data used
ControlControl
Q&A
Thanks
Christel De Maeyer
Quantified Self Co-organizer, member Persuasive Tech Lab, Stanford University,
Research – Lector Artevelde
christeldm@gmail.com
Christel.demaeyer@arteveldehs.be
http://Sleepingwithtechnology.com
References
1. Swamy Ananthanarayan, Katie A. Siek, 2012, Persuasive Wearable Technology Design for Health and
Wellness, Department of Computer Science, University of Colorado Boulder, Pervasive Health 2012, May
21-24, San Diego, United States, Copyright © 2012 ICST
2. BJ Fogg, 2003, Persuasive Technology, Using Computers to change what we think and do, Morgan
KaufmanPublishers
3. BJ Fogg & Dean Eckles, 2007, Mobile Persuasion, Stanford Captaology Media
4. BJ Fogg, Jason Herha, 2010, Behavior Wizard: A Method for Matching Target Behaviors with Solutions N.
Colineau and C. Paris. 2011, Motivating reflection about health within the family: the use of goal setting
and tailored feedback. UMUAI , pages 1-36, 2011.
5. Ian Li, A Jodi Forlizzi, Anind Dey, 2010, Know thyself: monitoring and reflecting on facets of one’s life.
Proceedings of the 28th of the international conference extended abstracts on Human factors in
computing systems, Atlanta, Georgia, USA.
6. Ian Anthony Rosas Li, 2011, Personal Informatics and Context:Using Context to Reveal Factors that
Affect Behavior, CMU-HCII-11-106 Human-Computer Interaction Institute, School of Computer Science
Carnegie Mellon University Pittsburgh, Pennsylvania, US
7. Ian Li, Yevgenly Medynskly, et al, 2012, Personal Informatics in Practice:Improving Quality of Life Trough
Data, CHI’12, May5-10, 2012, Austin , Texas, USA.
8. E. A. Locke and G. P. Latham. 2002, Building a practically useful theory of goal setting and task
motivation: A 35-year odyssey. American Psychologist , 57(9):705-717
9. D. Norman, 2010, Living with complexity, MIT Press
10. Richard M. Ryan and Edward L. Deci, 2000, Intrinsic and extrinsic motivations: classic definitionss and
new directions, Contemporary Educational Psychology 25, 54-67

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Christel De Maeyer, My measured self

  • 1. My Measured Self Christel De Maeyer TomorrowBrand 2015
  • 2. Why – Self Management What – Self Improvement How - Tools Personal Informatics It is about owerness
  • 3. Two sides The Self Graves disease The Research
  • 4. Why • Interviews and talks learned us that people have to be confronted with a serious happening before they think about their life. Something happens and then there is the reflection • BUT change is not easy, unless you have to. And even then. • My shock, Graves disease at severe stadium. If I would have monitored myself, I would have known things were changing rapidly – raging heart, very irritated, losing kilo’s, tremor, moods, etc... (2000) • Changed my whole lifestyle, upside down, that took years. The recovery, the process, until the feel good moment. Why? - because this was not meant to happen twice.
  • 5. Thoughts • Self-tracking takes time (current behavior towards goals) • Short term tracking versus long term tracking • Instant gratification versus longer term thinking • Perception and the data • Find people who don’t think you show weird behavior – social acceptance.
  • 7. Intake: Depending on your lifestyle Depending your environment Depending on your discipline Sources Instagram – Flickr - Facebook
  • 8. Activity Depending on the weather Depending on the mood Depending on the environment Routine or not Sources Instagram – Flickr - Facebook
  • 9. Sources Instagram – Flickr - Facebook Work Depending on your work style/activity Depending the environment In and out of comfort zone Manage your own time
  • 10. Emotion Family – parents go into last phase of life Confrontation with your own life Friends get ill and die, fast and slow Moments of joy and happiness Sources Instagram – Flickr - Facebook
  • 13. Studying – more free time FT Work – Less free time winter
  • 15.
  • 16. #Alzheimer is taking over mom’s life in May- June 2013 – diagnosed 2008 June 11th 2013 hospitalization Impact The night before
  • 17. Conclusion of Consistent lifestyle Better Time management More Productivity Higher Energy Feeling Balanced Feeling HAPPY most of the time!
  • 18. Personal Informatics a solution for preventive healthcare? Selfmonitoring process Selfmonitoring process Goal settingGoal setting Data interpretationData interpretation Coaching/feedback loop Coaching/feedback loop Personal Coaching •Observe •Hypothesize •Act •Reflect •Adjust •Iterate Anne Wright, 2014, Self- tracking: Reflections from the BodyTrack project Ananthanarayan, Siek, 2012 Fogg, 2007
  • 19. Model for understanding persuasive side of devices and software application Fogg, 2008 Simplicity factors depending on person and context to create more ability, the more ability the more motivation - Time (planning, time available) - Money - Braincycles (cognitive effort) - Physical effort (planning of physical activity) - Social acceptance/out of the ordinary - Non-Routine
  • 20. Research set up When? 7 month study (2012-13) Who? Non-early adoptors of selftracking with BodyMedia device Experimental group (N= 10) and Control group (N= 7) US – San Francisco and Belgium – Ghent area Research question Is 24/7 self-monitoring creating enough awareness and persuasion to get a balanced lifestyle? Will self-monitoring affect general wellbeing among self-monitored people? Phase Fall ‘12: 3 core motivators: sensation: pleasure, ‘new’, ‘curiosity’ anticipation: hope, trigger to chage something social cohesion: being part of a cool thing, group feeling Phase Winter ‘12-’13 8 out of 10 experimenters stop selftracking device created dependencies: without device = Back to old routines, less awareness Phase Spring ‘ 13 3 core motivators turn into negative behavior with some participants: Sensation: ‘new’ & ‘curiosity’ gone Anticipation: confrontation with data Social cohesion: rejection, outside world reactions Ability factors/Context factors: Device: Fall: feels comfortable, identifies with it, but first signs of ‘Out of the ordinary’ Spring: doing good = takes time, less comfort in long time wearing, outsiders remarks ‘Out of the ordinary’ Behavior: Fall: small changes creating routines instructed, brain cycles (cognitive investment) made Spring: due to stop, routine not estasblished, lack of maintenance in habit forming and cognitive effort Culture and season: Culture: SF vibrant city, nature aspects, attractive to be active. BE city vs rural area, latter more attractive Season: SF weather is a trigger to go outside. BE seasonal effect, weather dependency high, less activity Christel De Maeyer Christel.de.maeyer@vub.ac.be, Prof. An Jacobs An.Jacobs@vub.ac.be MEDICINE 2.0 CONFERENCE
  • 21. Example: one wants to go running, this is a whole set of behavior changes • Making time • Get the right shoes • Choose running track • Plan it that one can do it on a regular basis • Think in baby steps, build it up • Ultimatly create a routine Behavior change not easy
  • 22. Who ? Sharing Lifestyle changes participatoryWeb-based participatory Platform Data Storage Tools Using Real-time Data to support Integrated Care Goals Analytics FilteringData Virtual continuous Coaching Call to action Information e-Health, Vitalink Peer support Community Care Motivation Interaction Therapy adherence Jan Turdics Care Path Sharing Self-monitoring Self-reporting iMinds EDM iMinds SMIT iMinds iLab.o Aristoco Cubigo SPK Jusbox Praktijkhuis 2460 Macx MIC Interalis Jan Turdics Health behavior temperament iMinds EDMIntegration More adherence for chronic diseases?
  • 23. Considerations DataDataPrivacyPrivacy EthicsEthics Digital Literacy Digital Literacy Who owns the data? Who owns the data? How is the data used How is the data used ControlControl
  • 24. Q&A Thanks Christel De Maeyer Quantified Self Co-organizer, member Persuasive Tech Lab, Stanford University, Research – Lector Artevelde christeldm@gmail.com Christel.demaeyer@arteveldehs.be http://Sleepingwithtechnology.com
  • 25. References 1. Swamy Ananthanarayan, Katie A. Siek, 2012, Persuasive Wearable Technology Design for Health and Wellness, Department of Computer Science, University of Colorado Boulder, Pervasive Health 2012, May 21-24, San Diego, United States, Copyright © 2012 ICST 2. BJ Fogg, 2003, Persuasive Technology, Using Computers to change what we think and do, Morgan KaufmanPublishers 3. BJ Fogg & Dean Eckles, 2007, Mobile Persuasion, Stanford Captaology Media 4. BJ Fogg, Jason Herha, 2010, Behavior Wizard: A Method for Matching Target Behaviors with Solutions N. Colineau and C. Paris. 2011, Motivating reflection about health within the family: the use of goal setting and tailored feedback. UMUAI , pages 1-36, 2011. 5. Ian Li, A Jodi Forlizzi, Anind Dey, 2010, Know thyself: monitoring and reflecting on facets of one’s life. Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems, Atlanta, Georgia, USA. 6. Ian Anthony Rosas Li, 2011, Personal Informatics and Context:Using Context to Reveal Factors that Affect Behavior, CMU-HCII-11-106 Human-Computer Interaction Institute, School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania, US 7. Ian Li, Yevgenly Medynskly, et al, 2012, Personal Informatics in Practice:Improving Quality of Life Trough Data, CHI’12, May5-10, 2012, Austin , Texas, USA. 8. E. A. Locke and G. P. Latham. 2002, Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist , 57(9):705-717 9. D. Norman, 2010, Living with complexity, MIT Press 10. Richard M. Ryan and Edward L. Deci, 2000, Intrinsic and extrinsic motivations: classic definitionss and new directions, Contemporary Educational Psychology 25, 54-67