Tailoring output to the user: What does user modelling in generation mean?
This paper examines the implications, for linguistic output generation tailored to the interactive system user, of earlier analyses of the components of user modelling and of the constraints realism imposes on modelling. Using a range of detailed examples it argues that tailoring based only on the actual dialogue and on the decision model required for the system task is quite adequate, and that more ambitious modelling is both dangerous and unnecessary.
KeywordsUser Modelling Decision Property System Task Computational Linguistics Patient Model
Unable to display preview. Download preview PDF.
- Brooks, H.M. An intelligent interface for document retrieval systems: developing the problem description and retrieval strategy components, PhD Thesis, City University, London, 1986.Google Scholar
- Carbonell, J. et al. `The XCALIBUR project: a natural language interface to expert systems’, Proceedings of the Eighth International Joint Conference on Artificial Intelligence, 1983, 653–656.Google Scholar
- Chin, D.M. `KNOME: modelling what the user knows in UC’, in Kobsa and Wahlster (1989).Google Scholar
- Cohen, R. and Jones, M. `Incorporating user models into expert systems for educational diagnosis’, in Kobsa and Wahlster (1989).Google Scholar
- Daniels, P.J. Developing the user modelling function of an intelligent interface to document retrieval systems, PhD Thesis, City University, London, 1987.Google Scholar
- Grosz, B.J. and Sidner, C.L. `Assertions, intentions, and the structure of discourse’, Computational Linguistics 12, 1986, 175–204.Google Scholar
- Joshi, A., Webber, B. and Weischedel, R. `Preventing false inferences’, Proceedings of COLING84, 1984, 134–138.Google Scholar
- Kobsa, A. and Wahlster, W. (eds) User models in dialogue systems, Berlin: Springer, 1989.Google Scholar
- Litman, D.J. Plan recognition and discourse analysis: an integrated approach to understanding dialogues, PhD Thesis, TR 170, Department of Computer Science, University of Rochester, 1985.Google Scholar
- Morik, K. `User models and conversational settings: modelling the user’s wants’, in Kobsa and Wahlster (1989).Google Scholar
- Paris, C.L. `Tailoring object descriptions to a user’s level of expertise’, in Kobsa and Wahlster (1989).Google Scholar
- Pollack, M.E. Inferring domain plans in question answering, Technical Note 403, SRI International, Menlo Park, 1986.Google Scholar
- Rich, E. `Stereotypes and user modelling’, in Kobsa and Wahlster (1989).Google Scholar
- Sparck Jones, K. User models and expert systems, Technical Report 61, Computer Laboratory, University of Cambridge, 1984.Google Scholar
- Sparck Jones, K. `User models, discourse models, and some others’, Computational Linguistics 14, 1988, 98–100.Google Scholar
- Sparck Jones, K. `Realism about user modelling’, in Kobsa and Wahlster (1989); also Technical Report 111, Computer Laboratory, University of Cambridge, 1987Google Scholar
- Webber, B.L. `Questions, answers and responses: interacting with knowledge base systems’, in On knowledge base systems (ed Brodie and Mylopoulos), Berlin: Springer, 1986.Google Scholar
- Wilensky, R. et al. `The Berkeley UNIX Consultant project’, Computational Linguistics 14, 1988, 35–84.Google Scholar