User Behavior Mining for On-Line GUI Adaptation

Authors:
Wei Pan;Yiqiang Chen;Junfa Liu
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,;Institute of Computing Technology, Chinese Academy of Sciences,;Institute of Computing Technology, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,
Venue:
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Year:
2009

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Abstract

On-Line Graphics User Interface (GUI) Adaptation technology, which can predict and highlight user's next operation in menu based graphics interface, is the key problem in next generation pervasive human computer interaction, especially for remote control device like Wiimote assisting TV interaction. In this paper, a hierarchical Markov model is proposed for mining and predicting user's behavior from Wiimote control sequence. The modal can be on-line updated and highlight the next possible operation and then improve the system's usability. We setup our experiments on asking several volunteers to manipulate one real education web site and its embedded media player. The results shows our modal can make their interaction with GUI more convenient when using Wii for remote control.