KES 2003: Knowledge-Based Intelligent Information and Engineering Systems pp 439-445 | Cite as
Personalization of Help System Output in the Framework of Everyday Language Computing
Abstract
This paper discusses providing the personalized output of a help system when a user has difficulties in operating computer software. The knowledge for personalization is stored in a client model, which is one of the modules in a client secretary in the framework of Everyday Language Computing. Three functions of the client model, i.e., paraphrasing, supplementing and omission, and inference, are performed to modify the existing help text so that it will be easily understood to users. Focusing on user’s knowledge, we have constructed a user’s knowledge level judging system. Finally, the importance of the personalization of the help output is discussed with an example dialogue.
Preview
Unable to display preview. Download preview PDF.
References
- 1.Sugeno, M.: Verbalizing Computers – A Way to Everyday Language Computing. In: Proc. of 2002 AFSS Internationl Conference on Fuzzy Systems, pp. 117–120 (2002)Google Scholar
- 2.Sugimoto, T., Ito, N., Fujishiro, H., Sugeno, M.: Dialogue Management with the Semiotic Base: A Systemic Functional Linguistic Approach. In: Proc. of 1st International Conference on Soft Computing and Intelligent Systems (SCIS 2002) (2002)Google Scholar
- 3.Iwashita, S., Sugimoto, T., Ito, N., Kobayashi, I., Iwazume, M., Takahashi, Y., Sugeno, M.: A Client Model in Everyday Language Computing. In: Proc. of 1st International Conference on Soft Computing and Intelligent Systems (SCIS 2002) (2002)Google Scholar
- 4.Kobayashi, I., Iwazume, M., Sugeno, M.: Language Protocol for Everyday Language Computing. In: Proc. of 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), pp. 1299–1302 (2001)Google Scholar
- 5.Chin, D.N.: User modeling in UC, the UNIX consultant. In: Conference proceedings on Human factors in computing systems, pp. 24–28 (1986)Google Scholar
- 6.Virvou, M., Boulay, B.D.: Human Plausible Reasoning for Intelligent Help. User Modeling and User-Adapted Interaction 9, 321–375 (1999)CrossRefGoogle Scholar
- 7.Kiyota, Y., Kurohashi, S., Kido, F.: Dialog Navigator: A Question Answering System based on Large Text Knowledge Base. In: Proceedings of The 19th International Conference on Computational Linguistics (COLING 2002) (2002)Google Scholar