Manipulation of visual information affects control strategy during a visuomotor tracking task
Autor: | Erwin de Vlugt, Jurriaan H. de Groot, Carel G. M. Meskers, Paulina J.M. Bank, Lucas R.M. Dobbe |
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Přispěvatelé: | Rehabilitation medicine, AMS - Activities and Participation |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Male
Visual perception genetic structures Computer science Optical flow Strategy Electromyography 050105 experimental psychology Task (project management) 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Feedback Sensory medicine Humans 0501 psychology and cognitive sciences Attention System identification Simulation Haptic technology Aged Visuomotor control Communication medicine.diagnostic_test Proprioception business.industry 05 social sciences Motor control Middle Aged Evoked Potentials Motor Visual feedback Neuromechanical parameters Visual Perception Robot Female business 030217 neurology & neurosurgery Photic Stimulation Psychomotor Performance |
Zdroj: | Behavioural Brain Research, 329, 205-214 Behavioural Brain Research, 329, 205-214. Elsevier Bank, P J M, Dobbe, L R M, Meskers, C G M, de Groot, J H & de Vlugt, E 2017, ' Manipulation of visual information affects control strategy during a visuomotor tracking task ', Behavioural Brain Research, vol. 329, pp. 205-214 . https://doi.org/10.1016/j.bbr.2017.04.056 |
ISSN: | 0166-4328 |
Popis: | Proper understanding of motor control requires insight into the extent and manner in which task performance and control strategy are influenced by various aspects of visual information. We therefore systematically manipulated the visual presentation (i.e., scaling factor and optical flow density) of a visuomotor tracking task without changing the task itself, and investigated the effect on performance, effort, motor control strategy (i.e., anticipatory or corrective steering) and underlying neuromechanical parameters (i.e., intrinsic muscle stiffness and damping, and proprioceptive and visual feedback). Twenty healthy participants controlled the left-right position of a virtual car (by means of wrist rotations in a haptic robot) to track a slightly curved virtual road (presented on a 60” LED screen), while small torque perturbations were applied to the wrist (1.25–20 Hz multisine) for quantification of the neuromechanical parameters. This visuomotor tracking task was performed in conditions with low/medium/high scaling factor and low/high optical flow density. Task performance was high in all conditions (tracking accuracy 96.6%–100%); a higher scaling factor was associated with slightly better performance. As expected, participants did adapt their control strategy and the use of proprioceptive and visual feedback in response to changes in the visual presentation. These findings indicate that effects of visual representation on motor behavior should be taken into consideration in designing, interpreting and comparing experiments on motor control in health and disease. In future studies, these insights might be exploited to assess the sensory-motor adaptability in various clinical conditions. |
Databáze: | OpenAIRE |
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