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
Link To Document :
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