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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

Publication series

NameICPS
PublisherACM

Conference

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

Fingerprint

User interfaces
Learning algorithms
Learning systems
Pipelines

Keywords

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

Cite this

Johnston, V., Black, M., Wallace, J. G., Mulvenna, M., & Bond, RR. (2019). A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. In M. Mulvenna, & R. Bond (Eds.), ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition'' (pp. 32-35). (ICPS). New York, NY, USA. https://doi.org/10.1145/3335082.3335125
Johnston, Vivien ; Black, Michaela ; Wallace, J. G. ; Mulvenna, Maurice ; Bond, RR. / A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. editor / Maurice Mulvenna ; Raymond Bond. New York, NY, USA, 2019. pp. 32-35 (ICPS).
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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.",
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Johnston, V, Black, M, Wallace, JG, Mulvenna, M & Bond, RR 2019, A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. in M Mulvenna & R Bond (eds), ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. ICPS, New York, NY, USA, pp. 32-35, 31st European Conference on Cognitive Ergonomics, Belfast, United Kingdom, 10/09/19. https://doi.org/10.1145/3335082.3335125

A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. / Johnston, Vivien; Black, Michaela; Wallace, J. G.; Mulvenna, Maurice; Bond, RR.

ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. ed. / Maurice Mulvenna; Raymond Bond. New York, NY, USA, 2019. p. 32-35 (ICPS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Johnston V, Black M, Wallace JG, Mulvenna M, Bond RR. A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience. In Mulvenna M, Bond R, editors, ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. New York, NY, USA. 2019. p. 32-35. (ICPS). https://doi.org/10.1145/3335082.3335125