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.TRANSCRIPT
Adap%ve Mediated Persuasion Martha G. Russell
June 2, 2011
The Universe that is ME!
The Universe that is ME!
The Universe that is ME!
The Universe that is ME!
Seman%c Integra%on Technologies
• Sensors • Mobile devices
Quan%fied Self
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
Preferences and Permissions
Argumenta%on, Appeal & Nego%a%on
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
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 Con!dentiality of Information Security of Information Participation in Advertising Decisions Respect and Nondiscrimination Complaints and Appeals
Disclosure
Confiden%ality of Informa%on
Security
Par%cipa%on in Adv Decisions
Respect & Nondiscrimina%on
Complaints & Appeals
A Revolu%on is Coming!
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