Abstract
Explanations are an important by-product of medical decisionsupport activities, as they have proved to favour compliance and correct treatment performance. To achieve this purpose, these texts should have a strong argumentation content and should adapt to emotional, as well as to rational attitudes of the Addressee. This paper describes how Rhetorical Sentence Planning can contribute to this aim: the rulebased plan discourse revision is introduced between Text Planning and Linguistic Realization, and exploits knowledge about the user personality and emotions and about the potential impact of domain items on user compliance and memory recall. The proposed approach originates from analytical and empirical evaluation studies of computer generated explanation texts in the domain of drug prescription.
This work was partially supported by a British-Italian Collaboration in Research and Higher Education Project, which involved the Universities of Reading and of Bari, in 1996.
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References
D. Berry, I. Michas and F. de Rosis: Evaluating explanations about drug prescriptions. Submitted to Psychology and Health.
H. Dalianis and E. Hovy: On lexical aggregation and ordering. Proc. of 8th International Natural Language Generation Workshop (INLG-96), Poster session (1996) 29–32.
B. De Carolis, F. de Rosis, F. Grasso and A. Rossiello: Generating recipientcentered explanations about drug prescription. Artificial Intelligence in Medicine 8(2) (1996) 123–145.
F. de Rosis, F. Grasso, C. Castelfranchi, I. Poggi: Modelling conflict resolution dialogues between believable agents. Working notes of the ECAI-96 Workshop on: Modelling conflicts in AI (1996).
D. Forsythe: Using ethnography in the design of an explanation system. Expert Systems and Applications 8(4) (1995) 403–417.
I. Haimowitz: Modeling all dialogue system participants to generate empathetic responses. Computer Methods and Programs in Biomedicine 35 (1991) 321–330.
E. Hovy: Automated discourse generation using discourse structure relations. Artificial Intelligence 63 (1993) 341–385.
E. Hovy and L. Wanner: Managing sentence planning requirements. Working notes of the ECAI-96 Workshop on: Gaps and Bridges, New directions in planning and language generation (1996) 53–58.
R. Korf: Planning as search: a quantitative approach. Artificial Intelligence 33(1) (1987) 65–88.
M. Meteer: Bridging the generation gap between text planning and linguistic realization. Computational Intelligence 7(4) (1991) 296–304.
O. Rambow and T. Korelsky: Applied text generation. Proc. of 3rd Conference on Applied Natural Language Processing, Trento (1992) 40–47.
S. Reilly and J. Bates: Natural negotiation for believable agents. School of Computer Science, Carnegie Mellon University, CMU-CS-95-164, June 1995.
L. Wanner and E. Hovy: The HealthDoc Sentence Planner, Proc. of 8th International Natural Language Generation Workshop (INLG-96) (1996) 1–10.
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© 1997 Springer-Verlag Berlin Heidelberg
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de Rosis, F., Grasso, F., Berry, D.C. (1997). Strengthening argumentation in medical explanations by text plan revision. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029468
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DOI: https://doi.org/10.1007/BFb0029468
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