WAWC2005

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WAWC2005

• Conceptualization of User-Centric Personalization
  Management

Kari Heikkinen and Riku Suomela
Kari Heikkinen
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Objectives

• to identify both user demand and user
  requirements for personalization management
• to apply personal information is both user
  centric personalization management and
  personalized service provisioning
• to build a conceptualization for personalization
  management to be implemented so that it supports
  user centricness

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What is User Centricity?

• Trying to Understand the users !
• Beginning from finding out the real user demand
  and user requirements
• Ending to developing technology in a manner it
  would serve the individual user in a best manner

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Basic UCD Research process
Information Gathering
Design / Implementation
Focus Groups Other Information Gathering
Conceptualization Prototypes (high
low fidelity) Simulation
Evaluation
Iterative Prototype Development Subjective
Evaluation
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Attribute (Personal Information) Classification
User Attribute
Networking Attribute
Contact Information
Network Performance
Calendar Information
Service Execution
List of Point of Interests
Device Capabilities
Personal Service Information
Classification based on FG1
Emergency Data
History / Log file
Miscellanous
Community Attribute
General Attribute
Single Community
Privacy
Grouped Community
Trust
Buddylist
Personalization
Customization
Servicelist
History / Log file
Security
Miscellanous
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Human Experience
People do not want to personalize ?
TRUE ! Majority of users use the default choices
or change only little i.e. the layout of the
web-page
Personalization may restrict the extent and the
variety of information we receive
TRUE ! Indeed only getting certain kind of
information could limit i.e. the decision-making
and biased behaviour
People do not have well-defined preferences
TRUE ! In reality the choice of the user might be
highly context or situation dependent and thus
against any profile
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Human Experience
People might be reluctant to give information
about them
TRUE ! Privacy concerns are very high. On the
other hand in some cases personal information is
easily handed over.
Personalization is a black box solution to the
users and the users do not usually know all
details of the personalization and this could
lead to the distrust of technology
TRUE ! The users wants to control own information
and by doing so can trust the system more
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What is Personalization Management?

• Personalization can be seen as a toolbox (or
  capability) that contains a set of technologies
  that enable the meeting of personal needs,
  requirements, preferences etc. of an individual
  user
• Personalization can be divided into explicit and
  implicit personalization
• implicit personalization is guided/managed solely
  by the personalization system (server)
• explicit personalization is user-defined and
  managed by the user (or system, or device)

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What is Personalization Management?

• Personalization Management is often associated to
  an implicit system that guides, controls and
  maintains the whole personalization process
• In this thesis the notion personalization
  management is extended to explicit
  personalization in a manner the user can also
  guide, control and maintain the process

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Conceptualization of Personalization Management
PAL
MA
PIMS
MPs
Lectio Praecursoria
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Conceptualization of Personalization Management
Personalization Manager
Context Manager
Intelligence
User Profile
Local Activity
Situated User Profile
Environment Data
Service Profile
System Messages (MFU, NFU)
INSIDE PFU
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UI Prototype examples
Form UI (main)
Canvas UI (main)
Form UI (customization)
Form UI (search of a product based on a criteria)
Form UI (function menu of a person service)
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Conclusions

• An User-Centric Approach to Personalization
  Management and Service Provisioning
• enables user-driven management of personal
  information
• applies both explicit and implicit
  personalization
• integrates contextual and situation-dependant
  information to personal information management
  and service provisioning
• Is a complete personalization scheme, built on
  user demand and on user requirements, taking
  account also the different parameters of network
  performance
• Provides a basis for faster adoption of
  personalization technologies and new services