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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

•  Theory
in
real
world
prac7se

•  Results

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 wellbeing with 
self‐monitored people? 
 
 
Measuring: 


Calorie
burning

Food
Intake

Steps

Physical
Ac7vity

Sleep



Behavior
change
through
technology
or


Persuasive
Technology

Body
Media
armband
as
a
measuring
device

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

Mid‐Long
Period
Research

Selfmonitoring

process

Goal
seTng

Data

interpreta7on

Coaching/
feedback
loop

Taxonomy
of
Self‐Monitoring

Personal

Coaching


Ananthanarayan,
Siek,
2012

Fogg,
2007

Adapted
taxonomy

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

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,

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

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



Copyright
Images
from
their
respec7ve
owners


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