title: 3Mo: A Model for Music-Based Biofeedback.
abstract: In the domain of sports and motor rehabilitation, it is of major importance to regulate and control physiological processes and physical motion in most optimal ways. For that purpose, real-time auditory feedback of physiological and physical information based on sound signals, often termed "sonification," has been proven particularly useful. However, the use of music in biofeedback systems has been much less explored. In the current article, we assert that the use of music, and musical principles, can have a major added value, on top of mere sound signals, to the benefit of psychological and physical optimization of sports and motor rehabilitation tasks. In this article, we present the 3Mo model to describe three main functions of music that contribute to these benefits. These functions relate the power of music to Motivate, and to Monitor and Modify physiological and physical processes. The model brings together concepts and theories related to human sensorimotor interaction with music, and specifies the underlying psychological and physiological principles. This 3Mo model is intended to provide a conceptual framework that guides future research on musical biofeedback systems in the domain of sports and motor rehabilitation.
authors.affiliation: Department of Art, Music and Theatre Sciences, Institute for Psychoacoustics and Electronic Music, Ghent University Ghent, Belgium.
authors.forename: Pieter-Jan
authors.initials: PJ
authors.lastname: Maes
authors.affiliation: Department of Art, Music and Theatre Sciences, Institute for Psychoacoustics and Electronic Music, Ghent University Ghent, Belgium.
authors.forename: Jeska
authors.initials: J
authors.lastname: Buhmann
authors.affiliation: Department of Art, Music and Theatre Sciences, Institute for Psychoacoustics and Electronic Music, Ghent University Ghent, Belgium.
authors.forename: Marc
authors.initials: M
authors.lastname: Leman
keywords: auditory biofeedback; music interaction; predictive processing; reinforcement learning; sonification