Intelligent Tutoring Systems (ITSs) were proven efficient for supporting cognitive tasks; however, their potential contribution to support the development of other human skills is less known, even though they could be of high relevance in dealing with health issues. Lack of physical activity is considered the fourth leading cause for preventable death worldwide. Thus, our current work is aimed at assessing the amount and quality of research conducted to design and develop ITSs for training psychomotor abilities. A systemic literature search was conducted on the most reputable online data sources. After methodological filtering, a short-list of these studies was analyzed in-depth, and the results of their efficacy were considered through a structured comparative grid. The developed tutors use ITS architectures or variations, and capture several sub-fields of the psychomotor domain, from medicine (e.g., surgery, radiology), to military (e.g., training marksmanship), or learning to drive.
CITATION STYLE
Neagu, L. M., Rigaud, E., Travadel, S., Dascalu, M., & Rughinis, R. V. (2020). Intelligent tutoring systems for psychomotor training – a systematic literature review. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12149 LNCS, pp. 335–341). Springer. https://doi.org/10.1007/978-3-030-49663-0_40
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