Computer-assisted expertise and error prediction in martial arts sequences for targeted training: Insights from a workshop

Titel Computer-assisted expertise and error prediction in martial arts sequences for targeted training: Insights from a workshop

Autor*innen Benjamin Strenge, Ludwig Vogel, Thomas Schack

Zitationsvorschlag

Strenge, B., Vogel, L., & Schack, T. (2024). Computer-assisted expertise and error prediction in martial arts sequences for targeted training: Insights from a workshop. Journal of Martial Arts Research, 7, Article 56. https://doi.org/10.25847/jomar.conference.56

Abstract

Athletes’ expertise and likelihood of errors in action sequences like choreographed movement patterns in kata are associated with properties of their mental representation structures, which can be assessed with measurement and analysis tools based on structural-dimensional analysis of mental representations. Individual performance predictions could then facilitate coaching, deliberate practice, and targeted training. We conducted an application-oriented scientific workshop that explained the cognitive theory, requirements and limitations of the methodology, and demonstrated the QSplit SDA-M Suite as a software tool for data acquisition, individual and group-related assessments. The workshop allowed an interactive, collaborative usage of the tool to gain familiarity and personal experience with these approaches by encouraging participants to define a martial arts action sequence and retrieve their mental representation structure of that sequence. Comments and questions raised in the workshop context were concerned with the definition of „errors“ in kata, interactions of multiple people, the influence of camera angle on visual representations of basic action concepts, and the atomicity of associated movements, pointing to new applications and alternative interpretations of results.