Abstract
Many activities, such as learning a craft, involve learning how to manipulate physical objects by following a step-by-step procedure. In this paper we present our ongoing work on development of TUMA: an intelligent tutoring system for manual-procedural activities. We first introduce the notion of manual-procedural activity and then argue about the opportunities for creating intelligent tutors for manual-procedural activities. Such an intelligent tutoring system can be used in domains like teaching crafts, that involve acquiring cognitive knowledge along with specific motor skills. TUMA unifies the research from three different communities: intelligent tutoring systems, human motion tracking, and assistance systems for manual assembly in manufacturing. We describe the vision and the requirements of TUMA and its functional architecture inspired by high-level components of intelligent tutoring systems. Finally we report on our research road map for implementing a proof-of-concept and evaluating its impact.
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References
Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., Stricker, D.: Survey of motion tracking methods based on inertial sensors: a focus on upper limb human motion. Sensors 17(6), 1257 (2017)
Goldberg, B.: Intelligent tutoring gets physical: coaching the physical learner by modeling the physical world. In: Schmorrow, D.D.D., Fidopiastis, C.M.M. (eds.) AC 2016 Part II. LNCS (LNAI), vol. 9744, pp. 13–22. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39952-2_2
Hinrichsen, S., Riediger, D., Unrau, A.: Assistance systems in manual assembly. In: Villmer, F.J. (ed.) Proceedings 6th International Conference on Production Engineering and Management, pp. 3–13 (2016)
Lun, R., Zhao, W.: A survey of applications and human motion recognition with microsoft kinect. Int. J. Pattern Recognit. Artif. Intell. 29(05), 1555008 (2015)
Paviotti, G., Rossi, P.G., Zarka, D.: Intelligent tutoring systems: an overview. Pensa Multimedia (2012)
Santos, O.C.: Training the body: the potential of aied to support personalized motor skills learning. Int. J. Artif. Intell. Educ. 26(2), 730–755 (2016)
Simpson, E.J.: The classification of educational objectives, psychomotor domain. Education, and Welfare, Office of Edcn, Department of Health (1970)
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Hodaie, Z., Haladjian, J., Bruegge, B. (2018). TUMA: Towards an Intelligent Tutoring System for Manual-Procedural Activities. 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_35
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DOI: https://doi.org/10.1007/978-3-319-91464-0_35
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