User Modeling for Adaptive and Adaptable Software Systems - The Diigo Meta page

• 30 Mar 08
  

  igmuska .

  8 year old article describing the foundations of Google adsense

  framework usability

• 27 Mar 08
  

  Kappa .

  adaptable modeling user

  • Universal Usability requires that user interfaces accommodate users with a wide variety of expertise and knowledge.
  • The user model contains all information that the system knows about the user.
  • generally initialized either with default values or by querying the user. Thereafter, it is maintained by the system, although the user may be able to review and edit their profile
  • Stereotypes are often used to classify users

  • Typical attributes maintained in the user model: 

     
    •  User preferences, interests, attitudes and goals
      
    •  Proficiencies (e.g. task domain knowledge, proficiency with system)
      
    •  Interaction history (e.g., interface features used, tasks performed/in progress, goals attempted/achieved, number of requests for help)
      
    •  User classification (stereotype)

  • Inputs to the user model: 

     
    •  Explicit preferences, goals from questionnaires
      
    •  Explicit personal characteristics (e.g., job title, level of education)
      
    •  Self assessments
      
    •  Specific actions
      
    •  Vision and gaze tracking
  • Techniques for constructing the user model, analyzing a user profile and deriving new facts: 
     
    •  Bayesian (probabilistic)
      
    •  Logic-based (e.g.inference techniques or algorithms)
      
    •  Machine learning techniques (e.g. neural networks)
      
    •  Stereotype-based
      
    •  Inference rules
  • The user model permits the current knowledge of the user to be combined with the domain, task or other models to derive new facts.
  • Some of the techniques are fairly intrusive, such as requiring the user to answer an initial questionnaire
  • Recent work has focused on applying variations of user models to adaptive strategies for specific domains
  • Development of adaptive systems reinforces the need to "know thy user"
  • may require more up-front user analysis, since not only does the system designer need to know the user, that knowledge also must be embedded into the system. Moreover, the system needs to known when and how to act on that knowledge.
  • User modeling and adaptive techniques provide a way to optimize a user interface for individual users

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