User Centred Design of a Smartphone-based Cognitive Fatigue Assessment Application

Edward Price, George Moore, Leo Galway, Mark Linden

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

3 Citations (Scopus)

Abstract

This paper presents the user experience design approach taken for a mobile cognitive assessment tool. Taking a multidisciplinary approach with user centred assessment and feedback, the design of this tool was tailored to provide a usable and intuitive user experience. Key to user participation is ease of use and minimal time on task for participant engagement. To address this selected measures were carefully considered as to make the testing process simple and easy to engage with. Following a pre-validated, iterative design approach, an acceptable and engaging user experience was designed while retaining the ability to measure multiple aspects of a user’s condition and environment. Accurate assessment of cognitive fatigue requires a wide range of environmental user data in order to understand the participants’ current cognitive fatigue levels, therefore measures of physical, cognitive, social and emotional aspects were included within the application.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Print)978-1-4503-4806-5/16/11
DOIs
Publication statusPublished - 29 Nov 2016
EventThe 14th International Conference on Advances in Mobile Computing & Multimedia - Singapore
Duration: 29 Nov 2016 → …

Conference

ConferenceThe 14th International Conference on Advances in Mobile Computing & Multimedia
Period29/11/16 → …

Keywords

  • Fatigue
  • cognitive fatigue
  • smartphone
  • mobile
  • reaction
  • spatial span
  • mental arithmetic
  • cognitive tests
  • facial features
  • application design.

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  • Cite this

    Price, E., Moore, G., Galway, L., & Linden, M. (2016). User Centred Design of a Smartphone-based Cognitive Fatigue Assessment Application. In Unknown Host Publication Association for Computing Machinery. https://doi.org/10.1145/3007120.3007122