Psychomotor Learning in Martial Arts: an Opportunity for User Modeling, Adaptation and Personalization

Abstract

Psychomotor learning is crucial for many kind of tasks that involve the acquisition of motor skills, such as practicing martial arts. In the past two decades, diverse technological solutions have been developed to support the learning of the corresponding motor skills. However, the UMAP (User Modeling, Adaptation and Personalization) community has not taken part in that research efforts and thus, resulting systems do not adapt and personalize the system response to their users' needs. This paper discusses the main features of existing systems to learn martial arts and identifies research opportunities that are to be included in the future agenda for UMAP research.