Modeling decisions under uncertainty in adaptive user interfaces

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

The present work proposes a methodological approach for modeling adaptation decisions and for solving the problem of integrating existing as well as acquired knowledge in the decision module of an adaptive interface. So far, most applications do not exploit in full the value of data originating from user models or knowledge acquisition engines that monitor the user and the context. The proposed decision theoretic model is represented through specifically structured influence diagrams. It provides to designers and developers a specific method to encode user and context information, as well as other crucial decision factors, to be subsequently used in the decision making process regarding user interface adaptation actions. Such a process is driven by the definition of relevant utilities referring to the design of a user interface. The proposed model guides designers and developers of an adaptive or intelligent interface to integrate, without conflicts and incoherence, design strategies, design goals, user goals, alternative constituents, user profile, context and application domain knowledge. An illustrative example of the analyzed modeling method is presented.

Original languageEnglish
Pages (from-to)87-101
Number of pages15
JournalUniversal Access in the Information Society
Volume6
Issue number1
DOIs
Publication statusPublished - Jun 1 2007

Keywords

  • Adaptive interfaces
  • Bayesian networks
  • Decision networks
  • HCI
  • HCI methodology
  • Influence diagrams
  • Intelligent interfaces
  • Modeling user diversity
  • Universal Access

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications

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