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Affective Natural Language Generation

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Affective Interactions (IWAI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1814))

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Abstract

The automatic generation of natural language messages (or NLG) has been employed in many computer systems and for various purposes, which go from providing information on a particular subject, to instructing on how to perform some -complex- action, to arguing about a particular claim (for an overview, see [24]).

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References

  1. Becker, H.M. (ed.): The Health Belief Model and Personal Health Behavior. C. B. Slack, Thorofare, N.J (1974)

    Google Scholar 

  2. Berry, D.C., Gillie, T., Banbury, S.: What Do Patients Want to Know: an Empirical Approach to Explanation Generation and Validation. Expert Systems With Applications 8(4), 419–428 (1995)

    Article  Google Scholar 

  3. Castelfranchi, C., de Rosis, F., Grasso, F.: Deception and Suspect in Medical Interactions: Towards a simulation of believable dialogues. In: Wilks, Y. (ed.) Machine Conversations. International Series in Engineering and Computer Science, ch. 8, vol. 511. Kluwer, Dordrecht (1999)

    Google Scholar 

  4. Cheepen, C., Monaghan, J.: Naturalness in Automated Dialogues - less is more. In: Levy, D., Wilks, Y. (eds.) First International Workshop on Human- Computer Conversation, pp. 83–89 (1997)

    Google Scholar 

  5. Dalianis, H.: Concise Natural Language Generation from Formal Specifications. PhD thesis, Royal Institute of Technology/Stockholm University, Department of Computer and System Science (June 1996)

    Google Scholar 

  6. de Rosis, F., Grasso, F., Berry, D.C.: RefiningIns tructional Text Generation After Evaluation. Artificial Intelligence in Medicine 17(1), 1–36 (1999)

    Article  Google Scholar 

  7. de Rosis, F., Grasso, F., Berry, D.C., Gillie, T.: MediatingH earer’s and Speaker’s Views in the Generation of Adaptive Explanations. Expert Systems With Applications 8(4), 429–443 (1995)

    Article  Google Scholar 

  8. Dryer, D.C.: Getting Personal with Computers: How to design personalities for agents. Applied Artificial Intelligence 13(3), 273–295 (1999)

    Article  Google Scholar 

  9. Elliott, C.D., Rickel, J., Lester, J.: Lifelike Pedagogical Agents and Affective Computing: An Exploratory Synthesis. In: Veloso, M.M., Wooldridge, M.J. (eds.) Artificial Intelligence Today. LNCS (LNAI), vol. 1600, pp. 195–212. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  10. Grasso, F., Cawsey, A., Jones, R.: Dialectical Argumentation to Solve Conflicts in Advice Giving: a case study in the promotion of healthy nutrition. International Journal of Human-Computer Studies (to appear)

    Google Scholar 

  11. Grice, H.P.: Logic and Conversation. In: Cole, P., Morgan, J.L. (eds.) Speech Acts, Syntax and Semantics vol. 3, pp. 41–58. Seminar Press, New York (1975)

    Google Scholar 

  12. Haimowitz, I.: Modeling all Dialogue System Participants to generate Empathetic Responses. Computer Methods and Programs in Biomedicine 35, 321–330 (1991)

    Article  Google Scholar 

  13. Hovy, E.: Generating Natural Language under Pragmatic Constraints. Lawrence Erlbaum Associates, Hillsdale, (1988)

    Google Scholar 

  14. Hovy, E., Wanner, L.: ManagingSe ntence Planning Requirements. In: Jokinen, K., Maybury, M., Zock, M., Zukerman, I. (eds.) Proceedings of the ECAI-96 Workshop on: Gaps and Bridges: New directions in Planning and NLG, pp. 53–58 (1996)

    Google Scholar 

  15. Jameson, A., Weis, T.: How to Juggle Discourse Obligations. Technical Report 133, University of Saarbrüken, Department of Computer Science (October 1996)

    Google Scholar 

  16. Kölln, M.E.: Employing User Attitudes in Text Planning. In: Proceedings of the 5th European Workshop on Natural Language Generation, pp. 163–179 (May 1995)

    Google Scholar 

  17. Lewi, J., Hayes-Roth, B. (eds.): Proceedings of the 1st International Conference on Autonomous Agents (Agent 1997). ACM Press, New York (1997)

    Google Scholar 

  18. Loyall, A.B., Bates, J.: Personality-Rich Believable Agents that Use Language. In: Lewi and Hayes-Roth [17], pp. 106–113

    Google Scholar 

  19. Mann, W., Thompson, S.: Rhetorical Structure Theory: Toward a Functional Theory of Text Organization. Text 8(3), 243–281 (1988)

    Google Scholar 

  20. Moon, Y., Nass, C.: How ”Real” Are Computer Personalities? Psychological Responses to Personality Types in Human-Computer Interaction. Communication Research 23(6), 651–674 (1996)

    Article  Google Scholar 

  21. Moore, J.: Participating in Explanatory Dialogues. MIT Press, Cambridge (1995)

    Google Scholar 

  22. Picard, R.W.: Does HAL Cry Digital Tears?: Emotion and Computers. In: Stork, D. (ed.) HAL’s Legacy - 2001’s Computer as Dream and Reality, ch. 13, pp. 279–303. MIT Press, Cambridge (1996)

    Google Scholar 

  23. Reape, M., Mellish, C.: Just what is aggregation anyway? In: Proceedings of the 7th European Workshop on Natural Language Generation, pp. 20–29 (1999)

    Google Scholar 

  24. Reiter, E., Dale, R.: Building Applied Natural Language Generation Systems. Natural Language Engineering 3(1), 57–87 (1997)

    Article  Google Scholar 

  25. Sillince, J.A.A., Minors, R.H.: What Makes a Strong A rgument? emotions, highly placed values, and role playing. Communication and Cognition 24(3/4), 281–298 (1991)

    Google Scholar 

  26. Stroebe, W., Stroebe, M.: Social Psychology and Health. Mapping Social Psychology. Open University Press, Buckingham (1995)

    Google Scholar 

  27. Sycara, K.: Persuasive Argumentation in Negotiation. Theory and Decision 28(3), 203–242 (1990)

    Article  Google Scholar 

  28. Walker, M.A.: Redundancy in Collaborative Dialogue. In: Proceedings of the 15th International Conference on Computational Linguistics, COLING 1992 (1992)

    Google Scholar 

  29. Walker, M.A.: The Effect of Resource Limits and Task Complexity on Collaborative Planning in Dialogue. Artificial Intelligence 85(1-2), 181–243 (1996)

    Article  Google Scholar 

  30. Walker, M.A., Cahn, J., Whittaker, S.: Improvising Linguistic Style: Social and Affective Bases for Agent Personality. In: Lewi and Hayes-Roth [17], pp. 96–105

    Google Scholar 

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de Rosis, F., Grasso, F. (2000). Affective Natural Language Generation. In: Paiva, A. (eds) Affective Interactions. IWAI 1999. Lecture Notes in Computer Science(), vol 1814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720296_15

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  • DOI: https://doi.org/10.1007/10720296_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41520-6

  • Online ISBN: 978-3-540-44559-3

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