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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Pan, W., Chen, Y., & Liu, J. (2009). User behavior mining for on-line GUI adaptation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5620 LNCS, pp. 275–284). https://doi.org/10.1007/978-3-642-02809-0_30
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
