• DocumentCode
    3718716
  • Title

    Automating SmartPhone Automation: Enhancing User Experience with Behaviour Learning

  • Author

    Dhanish Semar;Ted Chen;Rashina Hoda

  • Author_Institution
    Electr. &
  • fYear
    2015
  • Firstpage
    108
  • Lastpage
    117
  • Abstract
    Smart phones nowadays form an integral part of our lives. Their persistent befriending demands frequent interaction not only to use their features but also to interact with phone settings to appropriate them to changing scenarios. Settings-based tasks such as muting sound during meetings while critical are typically tedious and disruptive and can be avoided by automating such tasks. Current smart phone automation apps require configuring explicit rules which users may find gratuitously complicated. Using a User-Centred Design approach, we designed a smart phone automation app which incorporates behaviour pattern recognition and routine learning to achieve intelligent and context-aware automation without overburdening the users. Usability and usefulness evaluations conducted in our study have provided valuable insight into user preferences to guide smart phone automation design. Automating smart phone automation in this way provides freedom from constant manual setting changes and from the overhead of manually configuring automation tools for a more seamless user experience.
  • Keywords
    "Automation","Context","Prediction algorithms","Pattern recognition","Smart phones","Schedules","Manuals"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (ASWEC), 2015 24th Australasian
  • ISSN
    1530-0803
  • Type

    conf

  • DOI
    10.1109/ASWEC.2015.22
  • Filename
    7365799