Sleeping With Technology Designing For Personal Health Christel De Maeyer MIConnect 25 April 2013 Genk  
Overview
•  Why
PI
•  Overview
of
tools
I
research
•  Research
Ques7on

•  How?
Fogg’s
MAT
model
and
Behavior
Grid
•  Theo...
Personal
Informa7cs
–
Quan7fied
Self

Self‐Tracking
Apps

Self‐Tracking
Devices

Self‐Tracking
Devices
Dashboards

Is 24/7 self‐monitoring creaHng enough awareness and persuasion to get a balanced lifestyle?      Will it bring a general ...
Measuring: 
Calorie
burning
Food
Intake
Steps
Physical
Ac7vity
Sleep

Behavior
change
through
technology
or

Persuasive
Te...
Model
for
understanding

persuasive
side
of

the
device
and

soNware
applica7on
using
Body
Media

Fogg,
2010

Measuring
Behavior
and

Behavioral
Change
Fogg,
2010,
Behavior
Grid
and
Wizzard

GoalseTng
theory
in
PI
Debjanee
et
al,
2012

Sampling
Gender
 Age
 Culture
 Lifestyle

October
‐
November
Phase
I
Fall
tracking
December
‐
February
Phase
II
Silent
Period
March‐April
Phase
III
Spring
tracking
...
Selfmonitoring
process
Goal
seTng
Data
interpreta7on
Coaching/feedback
loop
Taxonomy
of
Self‐Monitoring
Personal
Coaching
...
Results
of
social
experiment

first
findings
Phase
I

 •  Recep7on
of
the
device
•  Food
Intake
•  Prac7cal
use
•  Iden7fica7...
Recep7on
of
the
device


Recep7on
of
the
device

Food
Intake

Prac7cal
use

Iden7fica7on
with
the
device

Small
changes

Contextual
factors

Conclusion
experimental
group

Conclusion
control
group

Conclusion
Phase
II
Silent
Period

References
1.
Swamy
Ananthanarayan,
Ka7e
A.
Siek,
2012,
Persuasive
Wearable
Technology
Design
for
Health
and
Wellness,
Dep...
Thanks
to
Body
Media
Inc.
for
providing
the
armbands!
Thanks
to
Prof.
An
Jacobs
Thanks
to
par7cipants
Christel.De.Maeyer@v...
Personal Informatics MIConnect Genk 25/04/2013
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Personal Informatics MIConnect Genk 25/04/2013

  1. 1. Sleeping With Technology Designing For Personal Health Christel De Maeyer MIConnect 25 April 2013 Genk  
  2. 2. Overview
•  Why
PI
•  Overview
of
tools
I
research
•  Research
Ques7on

•  How?
Fogg’s
MAT
model
and
Behavior
Grid
•  Theory
in
real
world
prac7se
•  Results

  3. 3. Personal
Informa7cs
–
Quan7fied
Self

  4. 4. Self‐Tracking
Apps

  5. 5. Self‐Tracking
Devices

  6. 6. Self‐Tracking
Devices
Dashboards

  7. 7. Is 24/7 self‐monitoring creaHng enough awareness and persuasion to get a balanced lifestyle?      Will it bring a general wellbeing with self‐monitored people?   
  8. 8. Measuring: 
Calorie
burning
Food
Intake
Steps
Physical
Ac7vity
Sleep

Behavior
change
through
technology
or

Persuasive
Technology
Body
Media
armband
as
a
measuring
device

  9. 9. Model
for
understanding

persuasive
side
of

the
device
and

soNware
applica7on
using
Body
Media

Fogg,
2010

  10. 10. Measuring
Behavior
and

Behavioral
Change
Fogg,
2010,
Behavior
Grid
and
Wizzard

  11. 11. GoalseTng
theory
in
PI
Debjanee
et
al,
2012

  12. 12. Sampling
Gender
 Age
 Culture
 Lifestyle

  13. 13. October
‐
November
Phase
I
Fall
tracking
December
‐
February
Phase
II
Silent
Period
March‐April
Phase
III
Spring
tracking
Mid‐Long
Period
Research

  14. 14. Selfmonitoring
process
Goal
seTng
Data
interpreta7on
Coaching/feedback
loop
Taxonomy
of
Self‐Monitoring
Personal
Coaching

Ananthanarayan,
Siek,
2012
Fogg,
2007
Adapted
taxonomy

  15. 15. Results
of
social
experiment

first
findings
Phase
I

 •  Recep7on
of
the
device
•  Food
Intake
•  Prac7cal
use
•  Iden7fica7on
with
the
device
•  Small
changes
–
need
versus
no
need
•  Contextual
factors
–
family
–
weather
–
7me
‐
culture
•  Conclusion

  16. 16. Recep7on
of
the
device


  17. 17. Recep7on
of
the
device

  18. 18. Food
Intake

  19. 19. Prac7cal
use

  20. 20. Iden7fica7on
with
the
device

  21. 21. Small
changes

  22. 22. Contextual
factors

  23. 23. Conclusion
experimental
group

  24. 24. Conclusion
control
group

  25. 25. Conclusion
Phase
II
Silent
Period

  26. 26. References
1.
Swamy
Ananthanarayan,
Ka7e
A.
Siek,
2012,
Persuasive
Wearable
Technology
Design
for
Health
and
Wellness,
Department
of
Computer
Science,
University
of
ColoradoBoulder,
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
Kaufman
Publishers
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
Solu7ons
5.
N.
Colineau
and
C.
Paris.
2011,
Mo7va7ng
reflec7on
about
health
within
the
family:
the
use
of
goal
seTng
and
tailored
feedback.
UMUAI
,
pages
1‐36,
2011.
6.
Ian
Li,
A
Jodi
Forlizzi,
Anind
Dey,
2010,
Know
thyself:
monitoring
and
reflec7ng
on
facets
of
one’s
life.
Proceedings
of
the

28th
of
the
interna7onal
conference
extended
abstracts
on
Human
factors
in
compu7ng
systems,Atlanta,
Georgia,
USA.
7.
Ian
Anthony
Rosas
Li,
2011,
Personal
Informa7cs
and
Context:Using
Context
to
Reveal
Factors
that
Affect
Behavior,

CMU‐HCII‐11‐106
Human‐Computer
Interac7on
Ins7tute,
School
of
Computer
Science
Carnegie
Mellon
University
Pijsburgh,
Pennsylvania,
US
8.
Ian
Li,
Yevgenly
Medynskly,
et
al,
2012,
Personal
Informa7cs
in
Prac7ce:Improving
Quality
of
Life
Trough
Data,
CHI’12,
May5‐10,
2012,
Aus7n
,
Texas,
USA.
9.
E.
A.
Locke
and
G.
P.
Latham.
2002,
Building
a
prac7cally
useful
theory
of
goal
seTng
and
task
mo7va7on:
A
35‐year
odyssey.

American
Psychologist
,
57(9):705‐717
10.
D.
Norman,
2010,
Living
with
complexity,
MIT
Press
11.
Richard
M.
Ryan
and
Edward
L.
Deci,
2000,
Intrinsicand
extrinsic
mo7va7ons:
classic
defini7onss
and
new
direc7ons,

Contemporary
Educa7onal
Psychology
25,
54‐67

  27. 27. Thanks
to
Body
Media
Inc.
for
providing
the
armbands!
Thanks
to
Prof.
An
Jacobs
Thanks
to
par7cipants
Christel.De.Maeyer@vub.ac.be
Sleeping
with
technology
.
com

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