Keynote Presentation at Persuasive Technology Conference, June 2, 2011, Columbus Ohio. There is a privacy friendly alternative in the world of personalized adaptive persuasion. Call to action for designers, developers, marketers and advertisers to respect digital identity of the people on whom their businesses depend.

1. Adap%ve
Mediated
Persuasion
Martha
G.
Russell
June
2,
2011

2. The
Universe
that
is
ME!

3. The
Universe
that
is
ME!

4. The
Universe
that
is
ME!

5. The
Universe
that
is
ME!

6. Seman%c
Integra%on
Technologies
• Sensors
• Mobile
devices

8. Quan%fied
Self

11. Persuasive
Technologies
Use
In%mate
Personal
Informa%on
content
tagging
-­‐
geoloca%on
interference
maps
-­‐
personal
iden%fica%on
-­‐
device
synchroniza%on
-­‐
privacy
protocols

12. $300B
US
ad-­‐based
Internet
industry
Addicted
to
in%mate
personal
data

13. Preferences
and
Permissions

14. Argumenta%on,
Appeal
&
Nego%a%on

15. Erosion
of
Privacy
In%mate
Personal
Informa%on
Preferences
&
Permissions
Argumenta%on,
Nego%a%on
&
Appeal
Personal
Informa%on
Exposed
Preferences
Revealed
Nego%a%on
Compromised
No
ForgeTng

16. Personal
Informa%on
Exposed

17. Preferences
Revealed

18. Nego%a%on
Compromised

19. No
ForgeTng

20. Informa%on
Security
–
Material
World
Informa(on
Collec(on:
Surveillance,
interroga%on
Informa(on
Processing:
Aggrega%on,
iden%fica%on,
insecurity,
Secondary
Use,
Exclusion
Informa(on
Dissemina(on:
Breach
of
confiden%ality,
disclosure,
exposure
Increased
Accessibility:
Blackmail,
Appropria%on,
Distor%on,
Invasion,
Intrusion,
Decisional
Interference

21. Data
Privacy
&
Self-­‐Regula%on
Consumer Bill
of
Digital Rights
Information Disclosure
Confidentiality of Information
Security of Information
Participation in Advertising Decisions
Respect and Nondiscrimination
Complaints and Appeals

22. Disclosure

23. Confiden%ality
of
Informa%on

24. Security

25. Par%cipa%on
in
Adv
Decisions

26. Respect
&
Nondiscrimina%on

27. Complaints
&
Appeals

28. A
Revolu%on
is
Coming!

29. Privacy
Friendly
Alterna%ve
Personalized
Intelligent
Adapta%on

30. An
Alterna%ve
Cloud
Business
Model
• Perform
computa%on
using
customer
equipment
• Store
private
informa%on
in
data
centers
that
can
be
decrypted
only
using
the
customers’
private
keys
• Service
adver%sing
using
customer
equipment
• Perform
social
compu%ng
using
customer
equipment

31. Call
to
Ac%on
• Develop
protocols
and
measures
of
audience
engagement
that
will
protect
the
privacy
of
individual
users
at
the
same
%me
as
they
support
the
mone%za%on
of
persuasion
technologies
in
new
media
and
the
effec%veness
of
posi%ve
societal
changes

32. Adap%ve
Mediated
Persuasion
Technologies
Personalized
and
Intelligent
Martha
G
Russell
Senior
Research
Scholar,
HSTAR
Ins%tute
Innova%on
Ecosystems
Network
Associate
Director,
Media
X
at
Stanford
University
With
Apprecia%on
to
Carl
Hewi`,
Visi%ng
Professor
Stanford