Adaptive Interface Design for Process Management System

Abstract:

This paper describes an adaptive interface design that is suitable for process management system which is an important component of e-government. Bayesian network model is adopted for updating the layout of modules on the interface based on the user's operating data. Not only the number of modules will change, the positions of the modules can also update according to the calculation results. The experiment is conducted on a real college scientific research management system. Response time and click rates are used for evaluating the effectiveness of the algorithm, and the result shows that the value of these indicators declines obviously. Therefore, the method is proved to work.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 6214-6217
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.6214
• Online since: September 2014
• Authors: Xin Sheng Ma*, Rui Zheng
• Keywords: Adaptive Interface, Bayesian Network, E-Government

References

[1] Norcio A. F. and Stanley, J., Adaptive human-computer interfaces: a literature survey and perspective, IEEE Transactions on Systems, Man and Cybernetics, vol. 19, no. 2, pp.399-408, Mar/Apr (1989).

DOI: 10.1109/21.31042

[2] Norcio A. F., The software engineering of adaptive human-computer interfaces, IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp.886-888, 14-17 Nov (1989).

DOI: 10.1109/icsmc.1989.71422

[3] Rencken, W. D. And Durrant-Whyte, H.F., A quantitative model for adaptive task allocation in human-computer interfaces, IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 4, pp.1072-1090, Jul/Aug (1993).

DOI: 10.1109/21.247889

[4] Averbukh, E.; Gavrilova, T.; Johannsen, G.; Voinov, A., User-model based design of adaptive human-computer interfaces, Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on , vol. 2, no., p.1693, 1697 vol. 2, 12-15 Oct (1997).

DOI: 10.1109/icsmc.1997.638259

[5] Balint, L., Adaptive interfaces for human-computer interaction: a colorful spectrum of present and future options, Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on , vol. 1, no., p.292, 297 vol. 1, 22-25 Oct (1995).

DOI: 10.1109/icsmc.1995.537774

[6] Dimitrova, M.; Hubert, M.; Boyadjiev, D.; Nabout, A.; Zaprianov, N. J.; Nour Eldin, H.A., Neural networks for classification and recognition of individual users in adaptive human-computer interface, Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on , vol., no., p.101, 106, 16-18 Jul (1997).

DOI: 10.1109/isic.1997.626421

[7] Seate, M.; Dwolatzky, B., Adaptive context human-computer interface (HCI) for power distribution network maintenance teams, Africon Conference in Africa, 2002. IEEE AFRICON. 6th , vol. 2, no., p.907, 912 vol. 2, 2-4 Oct. (2002).

DOI: 10.1109/afrcon.2002.1160034

[8] Ikehara, C.S.; Chin, D.N.; Crosby, M.E., Modeling and implementing an adaptive human-computer interface using passive biosensors, System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on , vol., no., p.9 pp., 5-8 Jan. (2004).

DOI: 10.1109/hicss.2004.1265329

[9] Minker, W.; Pittermann, J.; Pittermann, A.; Strauss, P. -M.; Buhler, D., Next-generation human-computer interfaces - towards intelligent, adaptive and proactive spoken language dialogue systmes, Intelligent Environments, 2006. IE 06. 2nd IET International Conference on , vol. 1, no., p.213, 219, 5-6 July (2006).

DOI: 10.1049/cp:20060645

[10] Wen-li Peng; Wen-ni Zhang, Research on Knowledge Processing System Based on Simulating Actions of Creatures, " Information Science and Engineering, 2008. ISISE , 08. International Symposium on , vol. 1, no., p.569, 573, 20-22 Dec. (2008).

DOI: 10.1109/isise.2008.242