A New Method for Tracking of Motor Skill Learning Through Practical Application of Fitts' Law

被引:5
作者
Ashworth-Beaumont, Jim [1 ]
Nowicky, Alexander [1 ]
机构
[1] Brunel Univ London, Rehabil Res Ctr, Sch Hlth Sci & Social Care, Uxbridge UB8 3PH, Middx, England
关键词
clinical measurement; Fitts' law; motor learning; motor skill; neurorehabilitation; rehabilitation; INFORMATION CAPACITY; TASK SUCCESS; VARIABILITY; PERFORMANCE; BRAIN; ACQUISITION; ADAPTATION; OPTIMALITY; ACCURACY; MOVEMENT;
D O I
10.1080/00222895.2013.778813
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A novel upper limb motor skill measure, task productivity rate (TPR) was developed integrating speed and spatial error, delivered by a practical motor skill rehabilitation task (MSRT). This prototype task involved placement of 5 short pegs horizontally on a spatially configured rail array. The stability of TPR was tested on 18 healthy right-handed adults (10 women, 8 men, median age 29years) in a prospective single-session quantitative within-subjects study design. Manipulations of movement rate 10% faster and slower relative to normative states did not significantly affect TPR, F(1.387, 25.009) = 2.465, p = .121. A significant linear association between completion time and error was highest during the normative state condition (Pearson's r = .455, p < .05). Findings provided evidence that improvements in TPR over time reflected motor learning with possible changes in coregulation behavior underlying practice under different conditions. These findings extend Fitts' law theory to tracking of practical motor skill using a dexterity task, which could have potential clinical applications in rehabilitation.
引用
收藏
页码:181 / 193
页数:13
相关论文
共 44 条
  • [1] Criteria for assessing the tools of disability outcomes research
    Andresen, EM
    [J]. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2000, 81 (12): : S15 - S20
  • [2] Linear and Logarithmic Speed-Accuracy Trade-offs in Reciprocal Aiming Result From Task-Specific Parameterization of an Invariant Underlying Dynamics
    Bongers, Raoul M.
    Fernandez, Laure
    Bootsma, Reinoud J.
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2009, 35 (05) : 1443 - 1457
  • [3] Quickly 'learning' to move optimally
    Brenner, Eli
    Smeets, Jeroen B. J.
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2011, 213 (01) : 153 - 161
  • [4] The statistical determinants of adaptation rate in human reaching
    Burge, Johannes
    Ernst, Marc O.
    Banks, Martin S.
    [J]. JOURNAL OF VISION, 2008, 8 (04):
  • [5] A central source of movement variability
    Churchland, Mark M.
    Afshar, Afsheen
    Shenoy, Krishna V.
    [J]. NEURON, 2006, 52 (06) : 1085 - 1096
  • [6] A POWER PRIMER
    COHEN, J
    [J]. PSYCHOLOGICAL BULLETIN, 1992, 112 (01) : 155 - 159
  • [7] Use-Dependent and Error-Based Learning of Motor Behaviors
    Diedrichsen, Joern
    White, Olivier
    Newman, Darren
    Lally, Niall
    [J]. JOURNAL OF NEUROSCIENCE, 2010, 30 (15) : 5159 - 5166
  • [8] Regression modeling of motion with endpoint constraints
    Faraway, J
    [J]. JOURNAL OF VISUALIZATION AND COMPUTER ANIMATION, 2003, 14 (01): : 31 - 41
  • [9] Field A., 2018, Discovering statistics using R
  • [10] Filho O. M., 2012, POP UP STOPWATCH MIC