Abstract
Psychomotor skills development is fundamental for performing safely and efficiently daily life, professional, and leisure movements. Psychomotor learning and upkeep are critical for preventing the negative consequences of a sedentary or inactive lifestyle. Our underlying assumption is that the development of a self-paced, learner-oriented, highly adaptable, and interactive training environment dedicated to psychomotor skills provides valuable support both to persons already performing sports training and to less motivated persons not practicing physical activities. The current study presents an overview of the second version of the Selfit system, an Intelligent Tutoring System for psychomotor skills, focused on strength development. The development of the ITS raised several challenges related to knowledge modeling, assessment, self-improving tutoring, and communication with the learner in open environments. As such, this study describes the implementation of Selfit v2, while considering its main components and improvements, together with insights on how the main challenges were addressed and a preliminary user test with 7 trainees who experimented with the first version.
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Neagu, LM., Rigaud, E., Guarnieri, V., Dascalu, M., Travadel, S. (2022). Selfit v2 – Challenges Encountered in Building a Psychomotor Intelligent Tutoring System. In: Crossley, S., Popescu, E. (eds) Intelligent Tutoring Systems. ITS 2022. Lecture Notes in Computer Science, vol 13284. Springer, Cham. https://doi.org/10.1007/978-3-031-09680-8_33
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