Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19287
Title: Investigating efficient reconfiguration strategies for mobile HCI
Authors: Chan, Beng Hwee.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems
Issue Date: 2009
Abstract: Mobile phones have become essential tools for everyone and new applications are constantly being developed for the mobile phones. Numerous researches have been done for the design of user interface of applications. The researches covered the influence of user ability on the generation of user interface for the applications. Further researches also find out how different contexts and mobile platforms affect the generation of user interfaces for the applications as well. Most of the past researches have been on the user interface within an application. With the introduction of tons of new applications for the mobile phone, the main display of the mobile phone will be quickly flooded with application widgets. This work investigates some efficient way to automatically configure the main screen of the mobile phone using learning engine. Supervised neural networks are used to demonstrate how the learning engine is able to improve the efficiency as compare to using a simple algorithm to manage the screen.
URI: http://hdl.handle.net/10356/19287
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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