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

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241 Downloads (Pure)

Abstract

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
Pages32-35
Number of pages4
ISBN (Electronic)978-1-4503-7166-7
DOIs
Publication statusPublished (in print/issue) - 10 Sept 2019
Event31st European Conference on Cognitive Ergonomics: Design for Cognition - Belfast, United Kingdom
Duration: 10 Sept 201913 Sept 2019
https://www.ulster.ac.uk/conference/european-conference-on-cognitive-ergonomics

Publication series

NameECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''

Conference

Conference31st European Conference on Cognitive Ergonomics
Abbreviated titleECCE 2019
Country/TerritoryUnited Kingdom
CityBelfast
Period10/09/1913/09/19
Internet address

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

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

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