Automating smartphone automation: enhancing user experience with behaviour learning

Dhanish Semar, Ted Chen, Rashina Hoda

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


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.
Original languageEnglish
Title of host publicationProceedings - 2015 24th Australasian Software Engineering Conference, ASWEC 2015
EditorsM. Ali Babar
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages10
ISBN (Electronic)9781467393904
Publication statusPublished - 2015
Externally publishedYes
EventAustralasian Software Engineering Conference 2015 - Adelaide, Australia
Duration: 28 Sep 20151 Oct 2015
Conference number: 24th (Proceedings)


ConferenceAustralasian Software Engineering Conference 2015
Abbreviated titleASWEC 2015
Internet address

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