Adaptive Personalized Persuasion

•

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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.

Technology News & Politics

Adap%ve
Mediated
Persuasion

Martha
G.
Russell

June
2,
2011

Seman%c
Integra%on
Technologies

•  Sensors

•  Mobile
devices

Persuasive
Technologies
Use

In%mate
Personal
Informa%on

content
tagging
-‐
geoloca%on
interference
maps
-‐
personal
iden%ﬁca%on
-‐
device
synchroniza%on
-‐
privacy
protocols

$300B
US
ad-‐based
Internet
industry

Addicted
to
in%mate
personal
data

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

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

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

Privacy
Friendly
Alterna%ve

Personalized
Intelligent
Adapta%on

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

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

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

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Dandelion Hashtable: beyond billion requests per second on a commodity server

Antonios Katsarakis

This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).

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Adaptive Personalized Persuasion

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

10.

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

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