Abstract
Teaching surgical decision making aims at enabling students to choose the most appropriate action relative to the patient’s situation and surgical objectives. This requires a deep understanding of causes and effects related to the surgical domain as well as being aware of key properties of the current situation. To develop an intelligent tutoring system (ITS) for teaching situated decision making in the domain of dental surgery, in this paper, we present a planning-based representation framework. This framework is capable of representing surgical procedural knowledge with respect to situation awareness and algorithms that utilize the representation to generate rich tutorial dialog. The design of the tutorial dialogs is based on an observational study of surgeons teaching in the operating room. An initial evaluation shows that generated interventions are as good as and sometimes better than those of experienced human instructors.
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References
Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors J. Hum. Factors Ergon. Soc. 37, 32–64 (1995)
Vannaprathip, N., Haddawy, P., Schultheis, H., Suebnukarn, S.: Generating tutorial interventions for teaching situation awareness in dental surgery – preliminary report. In: Phon-Amnuaisuk, S., Ang, S.-P., Lee, S.-Y. (eds.) MIWAI 2017. LNCS (LNAI), vol. 10607, pp. 69–74. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69456-6_6
Mccluskey, T.L.: PDDL: a language with a purpose? In: 13th International Conference on Automated Planning & Scheduling, ICAPS 2003. AAAI Press, Trento (2003)
Thomas, J.M., Young, R.M.: Annie: automated generation of adaptive learner guidance for fun serious games. IEEE Trans. Learn. Technol. 3, 329–343 (2010)
Beghith, K., Kabanza, F., Nkambou, R., Khan, M., Hartman, L.: Roman tutor: a robot manipulation tutoring simulator. DEM 20 (2005)
Miller, P.L.: Critiquing anesthetic management: the “ATTENDING” computer system. Anesthesiology 58, 362–369 (1983)
Gertner, A.S.: Plan recognition and evaluation for on-line critiquing. User Model. User-Adapt. Interact. 7, 107–140 (1997)
De Clercq, P.A., et al.: Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif. Intell. Med. 31, 1–27 (2004)
Miksch, S., et al.: Asbru: a task-specific, intention-based, and time-oriented language for representing skeletal plans. In: 7th Workshop on Knowledge Engineering Methods and Languages, pp. 1–25 (1997)
Nkambou, R., Bourdeau, J.: Advances in Intelligent Tutoring Systems. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14363-2
Kodaganallur, V., et al.: A comparison of model-tracing and constraint-based intelligent tutoring paradigms. Int. J. Artif. Intell. Educ. 15, 117–144 (2005)
Forbus, K.D.: Qualitative process theory. Artif. Intell. 24, 85–168 (1984)
Hogge, J.C.: Compiling expressed plan operators from domains recess theory in qualitative to TPL. In: AAAI, pp. 229–233 (1987)
Forbus, K.D.: Introducing actions into qualitative simulation (1988)
Bertoli, P., et al.: Extending PDDL to nondeterminism, limited sensing and iterative conditional plans. In: ICAPS 2003 Workshop on PDDL (2003)
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This research project was partially supported by the Faculty of Information and Communication Technology, Mahidol University.
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Vannaprathip, N. et al. (2018). A Planning-Based Approach to Generating Tutorial Dialog for Teaching Surgical Decision Making. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_44
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DOI: https://doi.org/10.1007/978-3-319-91464-0_44
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