Improving motor performance: Selected aspects of augmented feedback in exercise and health

Abstract Augmented feedback (AF) can play an important role when learning or improving a motor skill. As research dealing with AF is broad and diverse, the purpose of this review is to provide the reader with an overview of the use of AF in exercise, motor learning and injury prevention research with respect to how it can be presented, its informational content and the limitations. The term ‘augmented’ feedback is used because additional information provided by an external source is added to the task-intrinsic feedback that originates from a person's sensory system. In recent decades, numerous studies from various fields within sport science (exercise science, sports medicine, motor control and learning, psychology etc.) have investigated the potential influence of AF on performance improvements. The first part of the review gives a theoretical background on feedback in general but particularly AF. The second part tries to highlight the differences between feedback that is given as knowledge of result and knowledge of performance. The third part introduces studies which have applied AF in exercise and prevention settings. Finally, the limitations of feedback research and the possible reasons for the diverging findings are discussed. The focus of this review lies mainly on the positive influence of AF on motor performance. Underlying neuronal adaptations and theoretical assumptions from learning theories are addressed briefly.

[1]  P. Hume,et al.  Evaluation of lower extremity overuse injury potential in runners. , 2000, Medicine and science in sports and exercise.

[2]  N. Vuillerme,et al.  Vestibular and neck somatosensory weighting changes with trunk extensor muscle fatigue during quiet standing , 2010, Experimental Brain Research.

[3]  R. Schmidt,et al.  Knowledge of results and motor learning: a review and critical reappraisal. , 1984, Psychological bulletin.

[4]  J. Collins,et al.  Vibrating insoles and balance control in elderly people , 2003, The Lancet.

[5]  R. Schmidt,et al.  Reduced frequency of knowledge of results enhances motor skill learning. , 1990 .

[6]  M. M. Ekblom,et al.  Concurrent EMG feedback acutely improves strength and muscle activation , 2011, European Journal of Applied Physiology.

[7]  Richard E A van Emmerik,et al.  Changes in muscle and joint coordination in learning to direct forces. , 2008, Human movement science.

[8]  Wolfgang Taube,et al.  Supervised slackline training improves postural stability , 2013 .

[9]  K Bennell,et al.  Risk Factors for Stress Fractures , 1999, Sports medicine.

[10]  S J Petruzzello,et al.  The influence of electrocortical biofeedback on performance in pre-elite archers. , 1991, Medicine and science in sports and exercise.

[11]  Bradley D. Hatfield,et al.  Cognitive processes during self-paced motor performance: An electroencephalographic profile of skilled marksmen. , 1984 .

[12]  R. Reznick,et al.  Verbal feedback from an expert is more effective than self-accessed feedback about motion efficiency in learning new surgical skills. , 2007, American journal of surgery.

[13]  W J Ray,et al.  Cardiovascular-CNS interactions during a self-paced, intentional attentive state: elite marksmanship performance. , 1987, Psychophysiology.

[14]  Lennart Gullstrand,et al.  Immediate effect of visual and auditory feedback to control the running mechanics of well-trained athletes , 2011, Journal of sports sciences.

[15]  Timothy D. Lee,et al.  Motor Control and Learning: A Behavioral Emphasis , 1982 .

[16]  M. Faist,et al.  Cortical and spinal adaptations induced by balance training: correlation between stance stability and corticospinal activation , 2007, Acta physiologica.

[17]  L. Carlton,et al.  Information feedback and the learning multiple-degree-of-freedom activities. , 1992, Journal of motor behavior.

[18]  Gabriele Wulf,et al.  Self-Controlled Feedback: Does it Enhance Learning Because Performers Get Feedback When They Need It? , 2002, Research quarterly for exercise and sport.

[19]  A. Gollhofer,et al.  Spinal reflex plasticity in response to alpine skiing in the elderly , 2011, Scandinavian journal of medicine & science in sports.

[20]  J. Summers,et al.  Differences in motor learning success are associated with differences in M1 excitability. , 2010, Human movement science.

[21]  Jason B. Boyle,et al.  Coding of on-line and pre-planned movement sequences. , 2010, Acta psychologica.

[22]  Kazandjian Va,et al.  A Hawthorne strategy: implications for performance measurement and improvement. , 1998 .

[23]  R. J. Sullivan,et al.  Augmented feedback reduces jump landing forces. , 2001, The Journal of orthopaedic and sports physical therapy.

[24]  J. Agel,et al.  Anterior cruciate ligament injury patterns among collegiate men and women. , 1999, Journal of athletic training.

[25]  B Peacock,et al.  Feedback and maximum voluntary contraction. , 1981, Ergonomics.

[26]  E. Sedgwick,et al.  The perceptions of force and of movement in a man without large myelinated sensory afferents below the neck. , 1992, The Journal of physiology.

[27]  Attila Priplata,et al.  Noise-enhanced human balance control. , 2002, Physical review letters.

[28]  Heidi Johansen-Berg,et al.  Faculty of 1000 evaluation for Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study. , 2012 .

[29]  R. Magill Motor learning and control : concepts and applications , 2004 .

[30]  W. Taube,et al.  Improved postural control after slackline training is accompanied by reduced H‐reflexes , 2012, Scandinavian journal of medicine & science in sports.

[31]  D. Hopper,et al.  The influence of visual feedback on power during leg press on elite women field hockey players , 2003 .

[32]  Clare E. Milner,et al.  Reducing impact loading during running with the use of real-time visual feedback. , 2010, The Journal of orthopaedic and sports physical therapy.

[33]  B Stapelfeldt,et al.  Effects of pedal type and pull-up action during cycling. , 2008, International journal of sports medicine.

[34]  R. Schmidt,et al.  Methodology for motor learning: a paradigm for kinematic feedback. , 1991, Journal of motor behavior.

[35]  J. Temprado,et al.  Effects of different pedalling techniques on muscle fatigue and mechanical efficiency during prolonged cycling , 2012, Scandinavian journal of medicine & science in sports.

[36]  Yohan Payan,et al.  Postural destabilization induced by trunk extensor muscles fatigue is suppressed by use of a plantar pressure-based electro-tactile biofeedback , 2008, European Journal of Applied Physiology.

[37]  A Oña,et al.  Learning Volleyball Serves: A Preliminary Study of the Effects of Knowledge of Performance and of Results , 1999, Perceptual and motor skills.

[38]  Colm Murphy,et al.  The need and benefit of augmented feedback on service speed in tennis. , 2012, Medicine and science in sports and exercise.

[39]  W. Shebilske,et al.  Motor Learning and Control , 1993 .

[40]  Farzaneh A. Sorond,et al.  Subsensory vibrations to the feet reduce gait variability in elderly fallers. , 2009, Gait & posture.

[41]  Stephan Riek,et al.  Real-time error detection but not error correction drives automatic visuomotor adaptation , 2010, Experimental Brain Research.

[42]  M. Hinder,et al.  The contribution of visual feedback to visuomotor adaptation: How much and when? , 2008, Brain Research.

[43]  T R Lied,et al.  A Hawthorne strategy: implications for performance measurement and improvement. , 1998, Clinical performance and quality health care.

[44]  Zoubin Ghahramani,et al.  Computational principles of movement neuroscience , 2000, Nature Neuroscience.

[45]  A Gollhofer,et al.  Spinal and supraspinal adaptations associated with balance training and their functional relevance , 2008, Acta physiologica.

[46]  B Stapelfeldt,et al.  Muscle coordination while pulling up during cycling. , 2010, International journal of sports medicine.

[47]  Nicolas Vuillerme,et al.  Differential postural effects of plantar–flexor muscle fatigue under normal, altered and improved vestibular and neck somatosensory conditions , 2008, Experimental Brain Research.

[48]  Wolfgang Taube,et al.  Influence of enhanced visual feedback on postural control and spinal reflex modulation during stance , 2008, Experimental Brain Research.

[49]  C. Shea,et al.  Principles derived from the study of simple skills do not generalize to complex skill learning , 2002, Psychonomic bulletin & review.

[50]  C. Winstein Knowledge of results and motor learning--implications for physical therapy. , 1991, Physical therapy.

[51]  J. Judge,et al.  Dynamic balance in older persons: effects of reduced visual and proprioceptive input. , 1995, The journals of gerontology. Series A, Biological sciences and medical sciences.

[52]  P. Langhorne,et al.  Motor recovery after stroke: a systematic review , 2009, The Lancet Neurology.

[53]  R. Schmidt A schema theory of discrete motor skill learning. , 1975 .