title: Harnessing and understanding feedback technology in applied settings.
abstract: Research on the influence of augmented feedback effects on both skill learning and performance has been examined from two differing positions, generally reflective of two core movement science disciplines: motor learning and biomechanics. The motor learning approach has been to examine the content and timing of feedback under tightly controlled laboratory settings, with a focus on simple tasks and the influence of movement outcome feedback. At the other end of the spectrum are biomechanical approaches, which have been primarily devoted to demonstrating the capacity of measurement technology to quantify and report on movement pattern effectiveness. This review highlights the gap left by these two approaches and argues that advancement of our understanding of feedback application in practical settings requires a shift towards a multi-disciplinary focus. A particular focus of the review is on how researchers and practitioners need to harness our understanding and subsequent application of the emergent feedback technologies most prevalent in elite sport settings and clinical sports medicine. We highlight important considerations for future applied multidisciplinary research driven by relevant theory and methodological design to more comprehensively capture how feedback systems can be used to facilitate the development of skilled performance.
authors.affiliation: Movement Science, Australian Institute of Sport, Canberra, ACT, Australia, elissa.phillips@ausport.gov.au.
authors.forename: Elissa
authors.initials: E
authors.lastname: Phillips
authors.forename: Damian
authors.initials: D
authors.lastname: Farrow
authors.forename: Kevin
authors.initials: K
authors.lastname: Ball
authors.forename: Richard
authors.initials: R
authors.lastname: Helmer
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D025461:Feedback, Physiological / Q000502:physiology*; D006801:Humans; D009068:Movement / Q000502:physiology*; D013178:Sports Medicine / Q000379:methods*