User Modeling in Adaptive Human-Computer Interface for Turret

Article Preview

Abstract:

User modeling is an important strategy for designing effective user interface. User model for turret is different with general application. This paper concerns on modeling user of turret. Main emphasis is given on the relationships of man, machine and environment. The user models can help determine the characteristics of the turret user and how they affect the design of the adaptive interface. In this paper we present the progress of user model development and give some case studies using the proposed model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1398-1403

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Motomura Y, Yoshida K, Fujimoto K: Systems, Man, and Cybernetics. Vol. 1 (2000), 665-670.

Google Scholar

[2] Stephanidis C, Paramythis A, Sfyrakis: Intelligence in Services and Networks: Technology for Ubiquitous Telecom Services (Springer, Berlin Heidelberg 1998).

DOI: 10.1007/bfb0056962

Google Scholar

[3] Figueroa A M, Juarez-Ramirez R: Cloud & Ubiquitous Computing & Emerging Technologies. (2013), pp.228-235.

Google Scholar

[4] Nasoz F, Lisetti C L, Vasilakos A V: Information Sciences. Vol. 180 (2010), 3817-3836.

DOI: 10.1016/j.ins.2010.06.034

Google Scholar

[5] Hudlicka E, Mcneese M D: User Modeling and User-Adapted Interaction. Vol. 12 (2002), 1-47.

DOI: 10.1023/a:1013337427135

Google Scholar

[6] Dang T, Tapus A: Collaboration Technologies and Systems. (IEEE, 2013).

Google Scholar

[7] Liu J, Wong C K, Hui K K: Intelligent Systems. Vol. 18 (2003), 52-57.

Google Scholar

[8] Xue Q, Han X, Li M, et al. Discrete Dynamics in Nature and Society: Green Intelligent Transport System. (2014).

Google Scholar

[9] Biswas P, Robinson P.: Proc. of the International Conference on Intelligent Human Computer Interaction (2010).

Google Scholar

[10] Wang W, Mao Y, Jin J, et al.: International Journal of Computational Intelligence Systems. Vol. 4 (2011), 297-305.

Google Scholar