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Strenge B, Koester D, Schack T. Cognitive Interaction Technology in Sport-Improving Performance by Individualized Diagnostics and Error Prediction. Front Psychol. 2020;11:597913doi: 10.3389/fpsyg.2020.597913.
Strenge, B., Koester, D., & Schack, T. (2020). Cognitive Interaction Technology in Sport-Improving Performance by Individualized Diagnostics and Error Prediction. Frontiers in psychology, 11597913. https://doi.org/10.3389/fpsyg.2020.597913
Strenge, Benjamin, et al. "Cognitive Interaction Technology in Sport-Improving Performance by Individualized Diagnostics and Error Prediction." Frontiers in psychology vol. 11 (2020): 597913. doi: https://doi.org/10.3389/fpsyg.2020.597913
Strenge B, Koester D, Schack T. Cognitive Interaction Technology in Sport-Improving Performance by Individualized Diagnostics and Error Prediction. Front Psychol. 2020 Dec 21;11:597913. doi: 10.3389/fpsyg.2020.597913. eCollection 2020. PMID: 33408668; PMCID: PMC7779401.
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Front Psychol. 2020 Dec 21;11:597913. doi: 10.3389/fpsyg.2020.597913. eCollection 2020.

Cognitive Interaction Technology in Sport-Improving Performance by Individualized Diagnostics and Error Prediction.

Frontiers in psychology

Benjamin Strenge, Dirk Koester, Thomas Schack

Affiliations

  1. Neurocognition and Action Group, Faculty of Psychology and Sports Science, Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.
  2. Sport Psychology, Faculty Business and Management, BSP Business School Berlin, Berlin, Germany.

PMID: 33408668 PMCID: PMC7779401 DOI: 10.3389/fpsyg.2020.597913

Abstract

The interdisciplinary research area Cognitive Interaction Technology (CIT) aims to understand and support interactions between human users and other elements of socio-technical systems. Important reasons for the new interest in understanding CIT in sport psychology are the impressive development of cognitive robotics and advanced technologies such as virtual or augmented reality systems, cognitive glasses or neurotechnology settings. The present article outlines this area of research, addresses ethical issues, and presents an empirical study in the context of a new measurement and assessment system for training in karate. Recent advances in the field of cognitive assistance systems enabled largely automatized assessments of individual mental representation structures for action sequences, such as choreographed movement patterns in dance or martial arts. Empirical investigations with karate practitioners of different skill levels demonstrate that advanced software-based survey and algorithmic analysis procedures based on cognitive models generate individualized performance predictions for a movement sequence from the

Copyright © 2020 Strenge, Koester and Schack.

Keywords: SDA-M; cognitive assistance systems; ethical issue recognition; karate athletes/performance; karate kata; mental representation structures

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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