Christel De Maeyer, My measured self

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My Measured Self Christel De Maeyer TomorrowBrand2015

Transcript of Christel De Maeyer, My measured self

Page 1: Christel De Maeyer, My measured self

My Measured SelfChristel De Maeyer

TomorrowBrand 2015

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Why – Self ManagementWhat – Self ImprovementHow - Tools

Personal InformaticsIt is about owerness

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Two sides

The Self

Graves disease

The Research

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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.

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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.

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context physiological

holistic view

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Intake:

Depending on your lifestyle

Depending your environment

Depending on your discipline

Sources Instagram – Flickr - Facebook

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Activity

Depending on the weather

Depending on the mood

Depending on the environment

Routine or not

Sources Instagram – Flickr - Facebook

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Sources Instagram – Flickr - Facebook

Work

Depending on your work style/activity

Depending the environment

In and out of comfort zone

Manage your own time

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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

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Sleep2014

2012

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Frequency

Seasons

Work

Other

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Studying – more free time FT Work – Less free time winter

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Detail Activity

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#Alzheimer is taking over mom’s life

in May- June 2013 – diagnosed

2008

June 11th 2013 hospitalization

Impact

The night before

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Conclusion of

Consistent lifestyleBetter Time management

More Productivity

Higher Energy

Feeling Balanced

Feeling HAPPY most of the time!

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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 projectAnanthanarayan, Siek, 2012

Fogg, 2007

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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

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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 [email protected], Prof. An Jacobs [email protected]

MEDICINE 2.0 CONFERENCE

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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

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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 adherenceJan Turdics

Care Path

Sharing

Self-monitoring Self-reporting

iMinds

EDM

iMinds

SMIT

iMinds

iLab.o

Aristoco

Cubigo

SPKJusbox

Praktijkhuis

2460

Macx

MIC

Interalis

Jan Turdics

Health behavior

temperament

iMinds

EDMIntegration

More adherence for chronic diseases?

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Considerations

DataDataPrivacyPrivacy

EthicsEthics

Digital LiteracyDigital

LiteracyWho owns the data?

Who owns the data?

How is the data usedHow is the data used

ControlControl

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Q&AThanks

Christel De Maeyer

Quantified Self Co-organizer, member Persuasive Tech Lab, Stanford University,

Research – Lector Artevelde

[email protected]

[email protected]

http://Sleepingwithtechnology.com

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References1. 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