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Novices Make More Noise!

The D&K Effect 2.0?

Book chapter (2023)

Authors

Jan Schneider DIPF - Leibniz Institute for Research and Information in Education
Khaleel Asyraaf Mat Sanusi Cologne University of Applied Sciences
Bibeg Hang Bibeg Hang Web Information Systems
Marcel Schmitz Zuyd University of Applied Science
Daniel Schiffner DIPF - Leibniz Institute for Research and Information in Education
Research Group
Web Information Systems
Copyright: © 2023 Jan Schneider, Khaleel Asyraaf Mat Sanusi, B.H. Limbu, Marcel Schmitz, Daniel Schiffner
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Published Date

2023

Language

English

Research Group

Web Information Systems

Abstract

This paper presents an approach that helps distinguish expert and novice performance easily by observing the sensor data without having to understand nor apply models to the sensor signal. The method consists of plotting the sensor data and identifying irregularities. We corroborate, with the help of sensors, that expert performances are smoother, contain fewer irregularities, and have consistently uniform patterns than novice performances. In this paper, we present six different cases pointing out this assertion, namely bachata and salsa dances, tennis swings, football penalty kicks, badminton, and running.