DocumentCode :
3110781
Title :
Contextual adaptive user interface for Android devices
Author :
Jain, R. ; Bose, Joy ; Arif, Tasleem
Author_Institution :
WMG Group, Samsung R&D Inst., Bangalore, India
fYear :
2013
fDate :
13-15 Dec. 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper we propose a framework to adapt the user interface (UI) of mobile computing devices like smartphones or tablets, based on the context or scenario in which user is present, and incorporating learning from past user actions. This will allow the user to perform actions in minimal steps and also reduce the clutter. The user interface in question can include application icons, menus, buttons window positioning or layout, color scheme and so on. The framework profiles the user device usage pattern and uses machine learning algorithms to predict the best possible screen configuration with respect to the user context. The prediction will improve with time and will provide best user experience possible to the user. To predict the utility of our model, we measure average response times for a number of users to access certain applications randomly on a smartphone, and on that basis predict time saved by adapting the UI in this way.
Keywords :
Android (operating system); graphical user interfaces; human computer interaction; learning (artificial intelligence); smart phones; Android devices; UI; application icons; average response measurement; button window positioning; clutter reduction; color scheme; contextual adaptive user interface; layout; machine learning algorithms; menus; mobile computing devices; model utility prediction; screen configuration prediction; smart phones; tablets; user actions; user device usage pattern; user experience; Context; Data mining; Databases; Mobile communication; Smart phones; User interfaces; adaptive user interface; application usage; mobile phones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
India Conference (INDICON), 2013 Annual IEEE
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-2274-1
Type :
conf
DOI :
10.1109/INDCON.2013.6726014
Filename :
6726014
Link To Document :
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