Abstract
This chapter2 discusses the problem of detecting and responding to plan-oriented misconceptions in advice-seeking dialogs, concentrating on the problems of novice computer users. A cooperative response is one which not only corrects the user’s mistaken belief but also addresses the missing or mistaken user beliefs that led to it. Providing a cooperative response is presented as a process of the advisor trying to explain why he doesn’t hold the user’s belief and presenting this explanation to the user. An explanation is shown to correspond to a set of advisor beliefs that together contradict the user’s belief, and searching for an explanation to determine whether various abstract configurations of advisor beliefs hold. The search for an explanation makes use of both domain-specific advisor beliefs and a taxonomy of domain-independent explanations for potential user misconceptions. A taxonomy for misconceptions involving plan applicability conditions, preconditions, and effects is presented, along with a method of organizing the necessary advisor planning knowledge.
This chapter is an extended and revised version of [QUIL88].
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References
Abelson, R. (1973): The Structure of Belief Systems. In: R. C. Schank and K. M. Colby, eds.: Computer Models of Thought and Language. San Francisco, CA: Freeman. [QUIL*: 111]
Abelson, R. (1979): Differences between Belief and Knowledge Systems. Cognitive Science 3, 355–366. [QUIL*: 111]
Alvarado, S., M. Dyer and M. Flowers (1986): Editorial Comprehension in OpED through Argument Units. In: Proc. AAAI-86, 250–256. [QUIL*: 112]
Anderson, J. R., C. F. Boyle and G. Yost (1985): The Geometry Tutor. In: Proc. IJCAI-85, 1–7. [CHIN*: 77, 100; QUIL*: 116, 125; KASS*: 393]
Brown, J. S. and R. R. Burton (1978): Diagnostic Models for Procedural Bugs in Basic Mathematical Skills. Cognitive Science 2, 155–192. [CHIN*: 77, 100; QUIL*: 116, 125; MCCO*: 237; KASS*: 392, 394; FINI*: 414]
Burton, R. R. (1982): Diagnosing Bugs in a Simple Procedural Skill. In: D. H. Sleeman and J. S. Brown, eds.: Intelligent Tutoring Systems. New York: Academic Press. [QUIL*: 116, 125; KASS*: 394]
Carberry, S.: Plan Recognition and its Use in Understanding Dialog. In this volume. [WAHL*: 12; RICH*: 39; KOBS*: 59; CHIN*: 78; QUIL*: 129; PARI*: 201; MCCO*: 251; JAME*: 256, 260, 278f.; SPAR*: 361f.; MORI*: 375f.; FINI*: 414]
Chin, D. N.: KNOME: Modeling What the User Knows in UC. In this volume. [WAHL*: 5; RICH*: 36, 51; KOBS*: 57, 60f., 65; QUIL*: 128, 130; CARB*: 160; PARI*: 229; MCCO*: 235; JAME*: 256, 278, 307; SPAR*: 362f.; MORI*: 375, 377; FINI*: 414]
Dolan, C. and M. Dyer (1985): Learning Planning Heuristics through Observation. In: Proc. IJCAI-85, 600–602. [QUIL*: 131]
Dolan, C. and M. Dyer (1986): Encoding Planning Knowledge for Recognition, Construction, and Learning. In: Proc. of the 8th Annual Cognitive Science Society, Amherst, MA, 488–499. [QUIL*: 126, 131]
Dyer, M. (1983): In-Depth Understanding: A Computer Model of Narrative Comprehension. Cambridge, MA: MIT Press. [QUIL*: 111f., 126]
Dyer, M., M. Flowers and J. F. Reeves (1988): Recognizing Situational Ironies: A Computer Model of Irony Recognition and Narrative Understanding. Advances in Computing and the Humanities 1 (in press). [QUIL*: 126]
Fikes, R. E. and N. J. Nilsson (1971): STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. Artificial Intelligence 2, 189–208. [QUIL*: 111; CARB*: 136]
Flowers, M., R. McGuire and L. Birnbaum (1982): Adversary Arguments and the Logic of Personal Attacks. In: W. Lehnert and M. Ringle, eds.: Strategies for Natural Language Processing. Hillsdale, NJ: Lawrence Erlbaum. [QUIL*: 112]
Goodman, B. A. (1986): Miscommunication and Plan Recognition. Paper presented at the International Workshop on User Modeling, Maria Laach, Fed. Rep. of Germany. [QUIL*: 129; SPAR*: 362]
Joshi, A. K., B. Webber and R. M. Weischedel (1984): Living up to Expectations: Computing Expert Responses. In: Proc. AAAI-84, 169–175. [CHIN*: 104; QUIZ*: 126; JAME*: 256; COHE*: 329; FINI*: 414]
Kautz, H. and J. Allen (1986): Generalized Plan Recognition. In: Proc. AAAI-86, 423–427. [QUIL*: 129]
Kemke, C. (1986): The SINIX Consultant: Requirements, Design, and Implementation of an Intelligent Help System for a UNIX Derivative. Report No. 11, AI Laboratory, Dept. of Computer Science, Univ. of Saarbrücken, Fed. Rep. of Germany. [WAHL*: 5, 32; QUIL*: 128]
Kolodner, J. L. (1984): Retrieval and Organizational Strategies in Conceptual Memory. Hillsdale, NJ: Lawrence Erlbaum. [QUIL*: 125]
Kolodner, J. L. and R. E. Cullingford (1986): Towards a Memory Architecture that Supports Reminding. In: Proc. of the 8th Annual Cognitive Science Society, Amherst, MA, 467–477. [QUIL*: 125]
McCoy, K. F.: Highlighting a User Model to Respond to Misconceptions. In this volume. [WAHL*: 7, 27; CHIN*: 101; QUIL*: 126; CARB*: 152, 161; PARI*: 201; JAME*: 260; MORI*: 375; FINI*: 416]
Nessen, E. (1987): SC-UM: User Modeling in the SINIX Consultant. Memo No. 18, Dept. of Computer Science, Univ. of Saarbrücken, Fed. Rep. of Germany. [WAHL*: 5; CHIN*: 92; QUIL*: 128]
Paris, C. L.: The Use of Explicit User Models in a Generation System for Tailoring Answers to the User’s Level of Expertise. In this volume. [CHIN*: 107; QUIL*: 130; CARB*: 161; JAME*: 256, 260]
Pollack, M. E. (1986): A Model of Plan Inference that Distinguishes between the Beliefs of Actors and Observers. In: Proc. of the 24th Annual Meeting of the Association for Computational Linguistics, New York, NY, 207–214. [WAHL*: 12; QUIL*: 127; CARB*: 136, 143, 153; SPAR*: 362]
Pollack, M. E. (1986): Inferring Domain Plans in Question-Answering. Ph.D. Thesis, Dept. of Computer and Information Science, Univ. of Pennsylvania, Philadelphia, PA. [WAHL*: 12; QUIL*: 112, 127]
Quilici, A. (1985): Human Problem Understanding and Advice Giving: A Computer Model. Technical Report 85–69, Computer Science Dept., Univ. of California, Los Angeles, CA. [QUIL*: 113]
Quilici, A., M. Dyer and M. Flowers (1988): Recognizing and Responding to Plan-Oriented Misconceptions. In: Computational Linguistics 14(3), Special Issue on User Modeling (A. Kobsa and W. Wahlster, eds.), 38–51. [QUEL*: 108; PARI*: 201]
Sacerdoti, E. (1974): Planning in a Hierarchy of Abstraction Spaces. Artificial Intelligence 5, 115–135. [QUIL*: 111]
Schank, R. C. and R. Abelson (1977): Scripts, Plans, Goals, and Understanding. Hillsdale, NJ: Lawrence Erlbaum. [QUIL*: 111]
Schank, R. C. (1982): Dynamic Memory. Cambridge, MA: Cambridge Univ. Press. [QUIL*: 125]
Schank, R. C. (1986): Explanation Patterns: Understanding Mechanically and Creatively. Hillsdale, NJ: Lawrence Erlbaum. [QUIL*: 111]
Stevens, A., A. Collins and S. E. Goldin (1982): Misconceptions in Student’s Understanding. In: D. H. Sleeman and J. S. Brown, eds.: Intelligent Tutoring Systems. New York: Academic Press. [QUIL*: 116, 125]
Wilensky, R. (1983): Planning and Understanding. Reading, MA: Addison-Wesley. [QUIL*: 111]
Wilensky, R., Y. Arens and D. N. Chin (1984): Talking to UNIX in English: An Overview of UC. In: Communications of the ACM 27, 574–593. [WAHL*: 5, 19, 32; CHIN*: 74; QUIL*: 128]
Wilensky, R., J. Mayfield, A. Albert, D. N. Chin, C. Cox, M. Luria, J. Martin and D. Wu (1986): UC: A Progress Report. Technical Report UCB/CSD 87/303, Division of Computer Science, Univ. of California, Berkeley, CA. [WAHL*: 5, 19, 32; KOBS*: 60, 65; CHIN*: 74, 78, 82, 87f., 103; QUIL*: 128f.; SPAR*: 362; FINI*: 414f.]
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Quilici, A. (1989). Detecting and Responding to Plan-Oriented Misconceptions. In: Kobsa, A., Wahlster, W. (eds) User Models in Dialog Systems. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83230-7_5
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DOI: https://doi.org/10.1007/978-3-642-83230-7_5
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