Affiliation:
1. STMS, IRCAM, CNRS, Sorbonne Université, Paris, France
2. Université Paris-Saclay, CNRS, Inria, Orsay, France
Abstract
With the increasing interest in movement sonification and expressive gesture-based interaction, it is important to understand which factors contribute to movement learning and how. We explore the effects of movement sonification and users’ musical background on motor variability in complex gesture learning. We contribute an empirical study in which musicians and non-musicians learn two gesture sequences over three days, with and without movement sonification. Results show the interlaced interaction effects of these factors and how they unfold in the three-day learning process. For gesture 1, which is fast and dynamic with a direct “action-sound” sonification, movement sonification induces higher variability for both musicians and non-musicians on day 1. While musicians reduce this variability to a similar level as no auditory feedback condition on day 2 and day 3, non-musicians remain to have significantly higher variability. Across three days, musicians also have significantly lower variability than non-musicians. For gesture 2, which is slow and smooth with an “action-music” metaphor, there are virtually no effects. Based on these findings, we recommend future studies to take into account participants’ musical background, consider longitudinal study to examine these effects on complex gestures, and use awareness when interpreting the results given a specific design of gesture and sound.
Funder
ELEMENT – Enabling Learnability in Embodied Movement Interaction
European Research Council
Insead-Sorbonne University Behavioral Lab.
Publisher
Association for Computing Machinery (ACM)
Subject
Experimental and Cognitive Psychology,General Computer Science,Theoretical Computer Science
Reference88 articles.
1. A Closed-Loop Theory of Motor Learning
2. Movement qualities as interaction modality
3. Expressive Keyboards
4. Frédéric Bettens and Todor Todoroff. 2009. Real-time dtw-based gesture recognition external object for max/msp and puredata. In Proceedings of the SMC Sound and Music Computing Conference. 30–35.
5. Sensori-Motor Learning with Movement Sonification: Perspectives from Recent Interdisciplinary Studies
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