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.
| Original language | English |
|---|---|
| Pages (from-to) | 439-445 |
| Number of pages | 7 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 2774 PART 2 |
| DOIs | |
| Publication status | Published - 2003 |
| Event | 7th International Conference, KES 2003 - Oxford, United Kingdom Duration: 2003 Sep 3 → 2003 Sep 5 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Cite this
Iwashita, S., Kobayashi, I., Ito, N., Sugimoto, T., & Sugeno, M. (2003). Personalization of help system output in the framework of everyday language computing. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2774 PART 2, 439-445. https://doi.org/10.1007/978-3-540-45226-3_60