A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

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The aim of this paper is to present PhD research that aims to enhance the User Experience by proposing a framework that combines the three core components of: dynamic interfaces; adaptive interfaces; and intelligent interfaces. Initial research into the field has identified a gap at the intersection of these types of interaction. A dynamic interaction understands the user, their device and their physical environment to provide a basic User Experience. An adaptive interaction understands the user's capabilities further to implement an enhanced experience via usability and accessibility whilst recognising the flow of the user and their pipeline. The intelligent interaction builds further upon this through the incorporation of Machine Learning algorithms that assist in making the interface intelligent and provide a personalised experience for each user based upon their end goal. This in turn will reduce a user's cognitive load and enhance their interactive experience with an interface.
Original languageEnglish
Title of host publicationECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics
Subtitle of host publication''Design for Cognition''
EditorsMaurice Mulvenna, Raymond Bond
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)978-1-4503-7166-7
Publication statusPublished - 10 Sep 2019
Event31st European Conference on Cognitive Ergonomics: Design for Cognition - Belfast, United Kingdom
Duration: 10 Sep 201913 Sep 2019

Publication series



Conference31st European Conference on Cognitive Ergonomics
Abbreviated titleECCE 2019
CountryUnited Kingdom
Internet address


  • Big Data
  • Data Visualization
  • Dynamic
  • Adaptive
  • Intelligent
  • User Experience
  • Parameters
  • Machine Learning
  • Human Computer Interaction
  • Data science
  • Data Science

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