Video available: http://www.designforcontext.com/insights/personal-profiles-time-distance-smartdata2015
Personal data capture and algorithmic modeling of user preferences and interests is maturing. While its effect is felt most strongly in commercial activities and marketing, long-term value to the individual and society will arise in other disciplines like education, cultural heritage, health, and social engagement. But longitudinal user interest modeling is challenging. It is also important to be able to share that model across multiple institutions and domains, even across country borders. And what is the role of the individual user? This talk explores some of the model-building considerations for longitudinal preference management, how adaptive interfaces might play a role, as well as the way that users could interact with a model at a particular time in an application, to reflect their immediate needs and context.
Presented at SmartData 2015 conference, San Jose, CA, 19-Aug-2015
Creating Personal Profiles Across Time and Distance
1. www.designforcontext.com
@design4context
Duane
Degler
@ddegler
duane@designforcontext.com
Crea%ng
Personal
Profiles
Across
Time
and
Distance
SmartData:
19
August
2015
#SmartDataWeek
2. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Photo
of
addiConal
presenter
here
(in
grayscale)
INFORMATION
ARCHITECTURE
/
DESIGN
Understand the models
that make informa?on
?ck, and help people get
things done.
Duane
Degler
This
talk
.
.
.
Emerging
thoughts
from
work
on
info
discovery,
linked
data,
adapCve
UI,
personalizaCon
designforcontext.com/insights/
personal-‐profiles-‐Cme-‐distance-‐smartdata2015
3. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
“Time
and
Distance”
?
• Going
beyond
what
we
tend
to
see
today
• How
to
consider
personalizing
user
experience
for
educaCon,
cultural
heritage,
social
environments,
medicine,
law
…?
• Distance
–
different
situa/ons
• How
do
our
experiences
and
profiles
carry
across
interacCons
with
mulCple
insCtuCons
and
domains?
• Time
–
longitudinal
evolu/on
• How
do
our
experiences
and
preferences
evolve
as
we
learn,
experience…
and
our
tastes
and
needs
grow
and
change?
4. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Now:
Typically
a
closed-‐world
scenario
Site
Set
of
Objects
Site
Set
of
Objects
Profile
Site
Set
of
Objects
Profile
Profile
5. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Ecosystem
Now:
Ecosystems
behave
as
(semi)
closed-‐worlds
Site
Set
of
Objects
Site
Set
of
Objects
Site
Set
of
Objects
Profile
Profile
Profile
Profile
6. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Profile
Ecosystem
Future:
Requires
open-‐world
scenarios
Site
Set
of
Objects
Site
Set
of
Objects
Site
Set
of
Objects
Context
Context
Context
7. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Emerging
Tastes
–
Considering
How
Preferences
Evolve,
Degler,
PATCH
workshop,
29-‐Mar-‐2015
h[p://www.designforcontext.com/files/patch2015_degler_emerging-‐tastes.pdf
Considera%ons
when
crea%ng
and
using
personal
profiles
• SituaConal
• Domain
models
interact
with
user
knowledge
• Scenarios
may
be
transitory
• Balancing
models
with
serendipity
• SituaCons
are
influenced
by
social
interacCons
• Longitudinal
• Personal
interests
emerge
over
Cme
• Interests
evolve
through
lifelong
experiences
• Profiling
can
be
uneven
across
descripCve
dimensions
8. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
DOMAIN
MODELS
ARE
A
SOURCE
FOR
MATCHING
CONTENT
TO
INTERESTS
Tree of Library Classifications, Library of Congress. http://www.loc.gov/pictures/item/2011647038/
9. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Domains
have
profiles,
which
our
knowledge
overlays
SITUATIONAL
Knowledge
depth
Knowledge
breadth
Domain
overview
10. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Example:
Visi%ng
a
museum,
context
informs
relevance
SITUATIONAL
Domain
overview
With
children
(broader,
shallower)
With
students
(narrower,
deeper)
Personal
research
(deep,
cross-‐domain)
11. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
SITUATION
SIGNALS
SITUATION
SIGNALS
LocaCon
Co-‐occurring
events
Date
/
Cme
CondiCons
Devices
/
connecCvity
SITUATION
SIGNALS
USER
SIGNALS
Usage
pa[erns
Experience
Interests
/
profile
History
Community
CONTENT
SIGNALS
Link
relaConships
Text
pa[erns
Categories
/
keywords
Metadata
TASK
SIGNALS
Outcomes
/
goals
Rules
/
requirements
CriCcality
Sequence
/
status
Frequency
for
user
Relevance
models
involve
more
than
content
Suppor>ng
Relevance
for
Users
–
A
Design
Challenge
Duane
Degler,
SemTechBiz
3-‐Jun-‐2013
h[p://www.designforcontext.com/insights/supporCng-‐relevance-‐for-‐users
12. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
• SituaConal
• Domain
models
interact
with
user
knowledge
• Scenarios
may
be
transitory
• Balancing
models
with
serendipity
• SituaCons
are
influenced
by
social
interacCons
CONSIDERATIONS
WHEN
CREATING
AND
USING
PROFILES
Emerging
Tastes
–
Considering
How
Preferences
Evolve,
Degler,
PATCH
workshop,
29-‐Mar-‐2015
h[p://www.designforcontext.com/files/patch2015_degler_emerging-‐tastes.pdf
13. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Domain
models
interact
with
user
knowledge
• InteracCon
is
purposeful
• Resource
seeking
• Knowledge
seeking
• Entertainment
• Social
communicaCon
/
collaboraCon
(and
as
surrogates
for
others)
• Rich
experience
and
knowledge
=
rich
and
nuanced
interacCon
SITUATIONAL
14. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Scenarios
may
be
transitory
• We
must
understand
the
user’s
goals/tasks
• Every
goal
and
task
has
a
performance
Cmeline
• SomeCmes
it
is
a
single
quesCon
or
single
session
• SomeCmes
it
is
an
extended,
mulC-‐month
or
mulC-‐year
project
• When
completed,
the
intensity
of
focus
recedes
• It
doesn’t
mean
the
interest
disappears,
but
need
for
informaCon
might
SITUATIONAL
15. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Balancing
models
with
serendipity
• Guard
against
over-‐simplicity
or
rigidity
• People
find
delight
in
new
things
• Knowledgeable
experts
specifically
seek
serendipity,
discovery
SITUATIONAL
16. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Situa%ons
are
influenced
by
social
interac%ons
• Is
the
focus
of
my
interacCon
on
me,
or
on
other
people?
• If
others,
how
well
do
I
know
them?
How
oken
do
we
interact?
• How
do
we
discover
this?
• How
do
we
balance
the
signals?
• Are
my
immediate
items
of
focus
aligned
with
my
ongoing
interests?
SITUATIONAL
18. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Concept
model
for
dynamic
context
forces
SITUATIONAL
Suppor%ng
forces
Limi%ng
forces
External
suppor%ng
forces
External
limi%ng
forces
Retrieved
info
UI
components
Serendipity,
far
transfer
Strongly
related
objects
Weakly
related
objects
19. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Time
Distrac%ons
Par%cipant
experience
A^en%on
Social
connec%on
Knowledge
Place
Goals
Experience
Retrieved
info
UI
components
Broader,
shallower
informa%on
interac%on
e.g.
Taking
my
children
to
the
museum
on
Saturday
a`ernoon
SITUATIONAL
20. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Available
informa%on
Distrac%ons
Student
experience
Device
types
Subject
focus
Knowledge
Place
Student
mo%va%on
Device
loca%on
awareness
Retrieved
info
UI
components
Deeper,
narrower
informa%on
interac%on
e.g.
Taking
my
college
students
to
the
museum
on
Wednesday
morning
SITUATIONAL
21. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Cross-‐domain
experience
Collaborators
Resource
management
Time
Device
capabili%es
Project
Goal
Available
informa%on
Subject
knowledge
Retrieved
info
UI
components
Deep,
cross-‐domain
informa%on
interac%on
e.g.
Conduc%ng
research
as
part
of
my
next
book
SITUATIONAL
22. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
OPPORTUNITIES
FOR
UI
/
USER
EXPERIENCE
Cleveland
Museum
of
Art,
Gallery
One,
Howard
Agressi,
h[p://www.clevelandart.org/gallery-‐one
More than Information Retrieval
23. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Context
profile
adding
user
control
when
mobile
Traveling
(work)
At
home
Out
to
play
Traveling
(work)
Traveling
(vacaCon)
Research
Personal
interests
Family
interests
Ignore
profile
INTERACTION
24. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Duane
Account
Workspaces
>Logout
Search
this
site
Duane
Account
Workspaces
>Logout
Search
this
site
Ac>ve
profile:
CogniCve
paper
(Research)
At
home
Out
to
play
Traveling
Research:
CogniCve
paper
Historical
methods
class
Lifestyle
percepCon
book
Personal
interests
Family
interests
Ignore
profile
in
this
session
Context
profile
applied
to
search
and
naviga%on
INTERACTION
25. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Context
profile
as
a
lens
filter
on
a
results
page
Terms:
Impressionist
light
soken
Landscapes
European
art
Ac>ve
profile:
Book
research
Search
within
Your
Search
Criteria
Search
Results
(135
of
358
results)
×
×
Genre
−
+
ArCsts
−
+
Media
−
+
Availability
−
+
Book
research
×
INTERACTION
26. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Context
profile
as
a
drop-‐down
filter
on
related
links
Louis
Marcoussis:
Catalogue
raisonné
de
l'oeuvre
gravé.
Solange
Milet.
1991
French
PainCngs
in
the
collecCon
of
Mr.
and
Mrs.
John
Hay
Whitney
John
Rewald.
1956
The
World's
Most
InfluenCal
Painters
and
the
ArCsts
They
Inspired
David
Gariff,
Eric
Denker,
and
Dennis
P.
Weller.
2009
Tout
l'oeuvre
peint
de
MaCsse
1904-‐1928
Pierre
Schneider,
Massimo
Carra
and
Xavier
Deryng.
1982
Focus
not
applied
Related
Content
Focus
level
Related
Content
Set
your
focus
for
content:
þ
Landscapes
þ
People
in
nature
þ
French
arCsts
þ
European
arCsts
þ
Oils
þ
Watercolors
þ
Sketches
þ
On
display
in
gallery
þ
Online
collecCon
þ
Online,
open
access
cancel
Louis
Marcoussis:
Catalogue
raisonné
de
l'oeuvre
gravé.
Solange
Milet.
1991
Set
General
Specific
Focus
seungs
Related
Content
Genre
−
+
ArCsts
−
+
Media
−
+
Availability
−
+
INTERACTION
27. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Portable
interests
in
gallery
Users
take
their
selecCons
with
them
through
the
museum’s
galleries
Cleveland
Museum
of
Art:
Gallery
One
Take a Deep Dive into Gallery One at the Cleveland Museum of Art, Jane Alexander,
http://www.slideshare.net/JaneAlexander2/take-a-deep-dive-into-gallery-one-at-the-cleveland-museum-of-art
INTERACTION
28. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Portable
profile:
Carry
interests
to
different
loca%ons?
National Gallery of Art
Rousseau, Henri
French 1844-1910
-Tropical Forest with Monkeys
-The Equatorial Jungle
Phillips Collection
Anonymous 19th Century
American c. 1880
-Tropical Forest with Birds
2
1
29. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
PERSONALIZATION
MODELS
EVOLVE
THROUGH
LIFELONG
EXPERIENCES
Bartholomeus
van
der
Helst,
The
Governors
of
the
Kloveniersdoelen,
Amsterdam
Museum
h[p://www.amsterdammuseum.nl/
30. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Our
knowledge
grows
with
experience
LONGITUDINAL
IniCal
exposure
Increased
learning
Deeper
understanding/knowledge
Algorithms
need
to
recognize
when
learning
and
exploraCon
are
happening,
rather
than
tasks
focused
on
accessing
“known”
informaCon.
Likely
reduced
signal
priority
31. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Our
personal
profiles
refine
by
incorpora%ng
our
situa%ons
LONGITUDINAL
Transient
interest
SituaCons
Longitudinal
Profile
32. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Domain
overview
Domain
cross-‐walks
extend
our
understanding
SITUATIONAL
Domain
overview
Domain
cross-‐walks
encourage
knowledge
growth
and
support
serendipity
33. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Not
just
content
profiles:
Tasks
produce
learning
pa^erns
1
2
3
4
5
Yellow
brick
road
(set
path)
A
G
D
S
N
8
Family
Circus
(wandering)
1b
1c
1d
Spelunking
(deep
dive)
Window
shopping
(look-‐leave-‐look)
!
Serendipitous
(‘aha’
discovery)
LONGITUDINAL
Suppor>ng
Relevance
for
Users
–
A
Design
Challenge
Duane
Degler,
SemTechBiz
3-‐Jun-‐2013
h[p://www.designforcontext.com/insights/supporCng-‐relevance-‐for-‐users
34. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
• Longitudinal
• Personal
interests
emerge
over
Cme
• Interests
evolve
through
lifelong
experiences
• Profiling
can
be
uneven
across
descripCve
dimensions
CONSIDERATIONS
WHEN
CREATING
AND
USING
PROFILES
Emerging
Tastes
–
Considering
How
Preferences
Evolve,
Degler,
PATCH
workshop,
29-‐Mar-‐2015
h[p://www.designforcontext.com/files/patch2015_degler_emerging-‐tastes.pdf
35. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Personal
interests
emerge
over
%me
• Some
things
are
“in
the
moment”
–
some
“stay
with
you”
• LasCng
signals
may
be
addiCve,
becoming
more
focused
over
Cme
• In
any
situaCon,
do
I
value
the
object,
or
the
experience?
• InteracCon
may
not
be
the
same
as
long-‐term
interest
LONGITUDINAL
36. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Interests
evolve
through
lifelong
experiences
• Personal
profiles
are
informed
by
a
rich
array
of
experiences,
not
just
formal
interacCons
• EducaConal
and
cultural
exposure
• Travel
• Local
experiences
• ConversaCons
• Casual
and
brief
engagement
• How
well
do
we
understand
the
transiCon
from
“experience”
to
knowledge?
• Is
it
the
case
that
the
more
we
know,
the
less
we
need
to
be
shown?
• Greater
interest
in
cross-‐domain
interacCons,
specificity
–
and
serendipity
LONGITUDINAL
37. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
Profiling
can
be
uneven
across
descrip%ve
dimensions
• What
a[ributes
ma[er?
• If
the
a[ributes
of
an
object
itself
change
in
future,
does
that
change
my
interest
in
it?
Or
the
map
between
it
and
my
profile?
• With
increasing
richness
and
diversity
comes
complexity
LONGITUDINAL
38. CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
CreaCng
Personal
Profiles
Across
Time
&
Distance
19 August 2015
@ddegler #SmartDataWeek
• SituaConal
• Domain
models
interact
with
user
knowledge
• Scenarios
may
be
transitory
• Balancing
models
with
serendipity
• SituaCons
are
influenced
by
social
interacCons
• Longitudinal
• Personal
interests
emerge
over
Cme
• Interests
evolve
through
lifelong
experiences
• Profiling
can
be
uneven
across
descripCve
dimensions
CONSIDERATIONS
WHEN
CREATING
AND
USING
PROFILES
Emerging
Tastes
–
Considering
How
Preferences
Evolve,
Degler,
PATCH
workshop,
29-‐Mar-‐2015
h[p://www.designforcontext.com/files/patch2015_degler_emerging-‐tastes.pdf
39. www.designforcontext.com
@design4context
Duane
Degler
@ddegler
duane@designforcontext.com
Crea%ng
Personal
Profiles
Across
Time
and
Distance
SmartData:
19
August
2015
#SmartDataWeek