Performance and Learning of Generalized Motor Programs: Relative (GMP) and Absolute (Parameter) Errors

The effects of practice (Experiment 1) and parameter variability (Experiment 2) on the learning of generalized motor programs (GMPs) and movement parameterization were investigated In each experiment, 2 tasks with different relative force-time structures were tested. Participants (N = 32, Experiment (N = 40, Experiment 2) attempted to exert a pattern of force that resembled in force and time a waveform that was displayed on a computer monitor. In both experiments, the analysis suggested that the GMP, although refined over practice, was relatively stable (i.e., resistant to decay and interference), even early in practice (after 20 trials). In addition, the results indicated that constant and variable parameter practice did not differentially affect GMP learning but did degrade the learning of the parameter that was not varied. The data provided additional evidence for the dissociation of the GMP and the parameterization processes proposed in GMP theory. Contrary to schema theory, the present data suggest an interdependence between the force and the time parameters: The manipulation of 1 of the parameters has a negative effect on the learning of the other parameter.     

Variability of Practice and Contextual Interference in Motor Skill Learning

The purpose of this study was to investigate whether learning benefits in multiple-task learning situations are a result of contextual interference or of schema enhancement related to the amount of variability in the practice session. Two experiments were designed that replicated and extended the experiment reported by Wulf and Schmidt (1988). In a 2 (same vs. different relative time) x 2 (blocked vs. random practice schedule) design, 48 right-handed subjects were randomly assigned to one of four experimental conditions. A tapping task was employed that required a right-handed tap of three small brass plates arranged in a diamond pattern. Each segment had a specific time requirement. Target times and response times were provided on a computer screen directly in front of the subject. Each subject participated in two acquisition sessions (i.e., 198 practice trials) and was tested for learning on several different retention and transfer tests. In Experiment 2, a control group was added that received no acquisition phase. Results of both experiments showed a typical contextual interference effect, with depressed scores by the random groups during acquisition but significantly better scores than the blocked groups on several retention and transfer tests. Certain characteristics of the tests were found to influence the demonstration of the practice schedule effects. These results were consistent with predictions from Magill and Hall (1990) that the learning benefits of contextual interference are more likely to occur when skill variations are from different classes of movement and that the amount of variability in practice is more influential when the to-be-learned tasks are parameter modifications of the same generalized motor program.     

Motor Learning through Induced Variability at the Task Goal and Execution Redundancy Levels

The authors examined the influence of introducing variability at two different levels in the learning of a striking task. Variability at the task goal level was introduced by changing target location, whereas variability at the execution redundancy level was introduced by using an intermediate target that constrained participants to use different paths from trial to trial to strike the same target. After practice, participants were transferred to 2 test conditions: (a) a fixed-target test, where the position of the target was unchanged; and (b) a variable-target test, where the position of the target was varied from trial to trial. The results from the manipulation at the task goal level were consistent with predictions from the specificity of practice hypothesis. In both the fixed- and variable-target tests, the best performance was achieved by the group that had practiced in the condition matching the test condition. At the execution-redundancy level, practicing multiple solutions to achieve the task goal did not improve performance in either the fixed- or variable-target tests. These results show that introducing variability at the task goal and execution redundancy levels has different effects on learning and generalization and that practice schedules that constrain the participant to use redundant solutions may not facilitate learning.     

国外运动学习中追加反馈的研究现状

1　引言Ａｄａｍｓ认为 :没有反馈就没有学习。学习者利用反馈提供的信息理解任务 ,不断觉察、纠正错误动作 ,最终掌握这一技能。因此 ,人们试图控制反馈来提高运动技能学习的效果。通常 ,能直接控制的反馈是外在反馈 (ＥｘｔｒｉｎｓｉｃＦｅｅｄ ｂａｃｋ) ,也常称为追加反馈 (ＡｕｇｍｅｎｔｅｄＦｅｅｄｂａｃｋ)。长期以来 ,追加反馈被认为是影响运动学习的一个基本变量 ,并认为 :追加反馈越频繁、越及时 ,学习效果就越好。然而 ,近年来 ,出现了许多与此相悖的研究成果。所以 ,对国外关于追加反馈研究文献的回顾 ,有助于促进国内研究者…     

Higher Processes in Motor Learning

A linear displacement task was used to study the effects of post-KR verbal activity and the time of its introduction in the learning process on the acquisition of a simple discrete motor task. The temporal occurrence of the interpolated act was systematically varied (3 and 10 sec. immediately following KR). Reading polysyllables during the post-KR delay interval interfered with the learning process. Interference occurred whether the post-KR delay interval lasted 3 or 10 sec.     

Conceptions of Ability Affect Motor Learning

ABSTRACT

The authors examined the effects of induced conceptions of ability on motor learning. Participants in 3 groups practiced a balance task after receiving instructions suggesting that the task would reflect an inherent ability (IA group), represent an acquirable skill (AS group), or no ability-related instructions (control group). Across 2 days of practice, the AS and IA groups showed greater improvement in performance compared with the control group. For the retention test on Day 3, the AS group tended to demonstrate generally more effective balance performance than the control group and increasingly greater effectiveness compared with the IA group. Moreover, AS group participants made higher-frequency (reflexive) movement adjustments than participants of the other 2 groups, indicating a greater automaticity in the control of their movements. Thus, learning was enhanced by instructions portraying the task as a learnable skill, rather than revealing a fixed inherent capacity or no instructions (control group).     

Varied Input Stimuli and Motor Learning,

75 apparatus-naive undergraduate Ss were assigned to one of five groups differentiated according to training display associated with a modified rotary pursuit (RP) apparatus. Performance of two control groups, one practicing an unaided reference task and the other a pathmarked RP task, was compared with that of groups that received either path-marked or mechanically guided practice during training, and where path-marked and mechanical guidance display was removed during transfer. It was found that the path-marked display produced superior results only during initial stages of practice, and retarded improvement in performance after transfer to the reference task. Mechanical guidance resulted in better performance on the path-marked condition than the unaided RP task, but in both cases performance dropped upon transfer. The results are discussed in the light of hypothesized learning strategies influenced by different training conditions.     

Task Difficulty and the Time Scales of Warm-Up and Motor Learning

The authors investigated the influence of task difficulty on warm-up decrement and learning across practice sessions. Three groups of participants practiced a star-tracing task over 3 consecutive days with different levels (e.g., easy, medium, hard) of task difficulty. The performance data were modeled with a 2 time scale function that represented the transient, fast time scale process of warm-up decrement superimposed with the persistent, slow time scale process of learning. Movement time decreased as a function of practice with the most difficult condition exhibiting the greatest reduction though still the longest movement time. The 2 time scale model provided a better fit to the data than an exponential or power law function and showed that the 3 difficulty conditions exhibited similar rates of change for the respective slow (i.e., learning) and fast (i.e., warm-up decrement) time scale processes that varied by an order of magnitude. Task difficulty was inversely related to the initial level of warm-up decrement but not the rate of performance recovery early in a practice session. The findings support the postulation that there is a persistent learned component to the initial conditions in subsequent practice sessions but that there is a common time scale of accommodating the transient process of warm-up decrement.     

汉语声调对称规则的内隐学习及变异性效应

关于内隐学习能否获得底层的抽象规则,研究一直存在争议。该研究通过有效地控制组块和重复结构等表面特征,并操纵规则所在背景的变异性大小,考察了两种汉语声调对称规则——逆行和倒映的内隐学习。结果发现,只有在背景变异较大时,被试才能够超越组块等表面特征,进而无意识地获得汉语声调对称规则的结构知识。该研究证明内隐学习能够获得抽象规则,并从背景变异性效应的角度为考察该问题提供了新的视角。     

Augmented Kinematic Feedback for Motor Learning

Although the study of feedback about goal achievement (knowledge of results, KR) has been important for the development principles of augmented information feedback in simple skills, there is reason to question the generalizability of these findings to many common learning situations. A more appropriate type of information for skill learning appears to be augmented kinematic (or kinetic) feedback regarding the movement pattern. The experiments presented here extend recent findings about KR to a paradigm involving kinematic feedback. In Experiment 1, we examined how several kinds of temporal and spatial kinematic information supplement KR in learning. Spatial kinematic variables were more effective than temporal variables, as indicated by performance in a retention test without kinematic feedback. In Experiment 2, we manipulated the schedule of augmented kinematic feedback in a method that paralleled previous KR work. We contrasted averaged schedules of augmented feedback, in which information was given either after every trial or as averaged information after every set of five trials. On retention tests without kinematic feedback given 1 day and 1 week after acquisition, averaged schedules led to enhanced performance over an every-trial format. Together, these results begin to define the variables important in kinematic feedback, and suggest that this feedback may influence learning in ways parallel to KR.     

Muscular Fatigue and the Learning and Performance of a Motor Control Task

Four groups of 12 female college students performed a pursuit-rotor task during learning under one of four conditions of exercising the muscles of the limb used in the task: (a) no muscular exercise, (b) low-fatiguing, (c) medium-fatiguing, and (d) high-fatiguing muscular exercise. All four groups were tested 48 hr later on the same pursuit-rotor task with no exercise interpolated between the ten 20-sec trials. Differences in the performances among the four groups were not statistically significant on either the first or the second day alone or when the data of the two days were combined. The data appear to support the hypothesis of an inverted-U or inverted-J model relating performance (and learning) to muscular fatigue in motor-control tasks.     

Cortical Cell Assemblies: A Possible Mechanism for Motor Programs

The concept of a motor program has been used to interpret a diverse range of empirical findings related to preparation and initiation of voluntary movement. In the absence of an underlying mechanism, its explanatory power has been limited to that of an analogy with running a stored computer program. We argue that the theory of cortical cell assemblies suggests a possible neural mechanism for motor programming. According to this view, a motor program may be conceptualized as a cell assembly, which is stored in the form of strengthened synaptic connections between cortical pyramidal neurons. These connections determine which combinations of corticospinal neurons are activated when the cell assembly is ignited. The dynamics of cell assembly ignition are considered in relation to the problem of serial order. These considerations lead to a plausible neural mechanism for the programming of movements and movement sequences that is compatible with the effects of precue information and sequence length on reaction times. Anatomical and physiological guidelines for future quantitative models of cortical cell assemblies are suggested. By taking into account the parallel, re-entrant loops between the cerebral cortex and basal ganglia, the theory of cortical cell assemblies suggests a mechanism for motor plans that involve longer sequences. The suggested model is compared with other existing neural network models for motor programming.     

A Test of the Schema Theory of Discrete Motor Learning

The recall schema in a response class of discrete movements was investigated, with variability of practice being manipulated before transfer to a new instance in the response class. After the transfer, the varied-practice group performance was superior to the continuous practice group. The interaction of the low-and high-variability groups from training to recall performance supported the prediction that a group with more variable training would exhibit an increased rate of learning when introduced to a new instance of the response class. After two days, the superiority of the high-variability group over the low disappeared, suggesting the memory representations of the two groups were no different under withdrawal of knowledge of results.     

Sensory Feedback in the Learning of a Novel Motor Task

The role of different forms of feedback is examined in learning a novel motor task. Five groups of ten subjects had to learn the voluntary control of the abduction of the big toe, each under a different feedback condition (proprioceptive feedback, visual feedback, EMG feedback, tactile feedback, force feedback). The task was selected for two reasons. First, in most motor learning studies subjects have to perform simple movements which present hardly any learning problem. Second, studying the learning of a new movement can provide useful information for neuromuscular reeducation, where patients often also have to learn movements for which no control strategy exists. The results show that artificial sensory feedback (EMG feedback, force feedback) is more powerful than “natural” (proprioceptive, visual, and tactile) feedback. The implications of these results for neuromuscular reeducation are discussed.     

Attention to Visual Feedback in Motor Learning

Visual guidance and movement to a stop were used to train subjects to make a simple movement without experiencing error in practice. Movement to a stop led to test performance as accurate as that after training with KR, but visual guidance did not. If a continuous visual cue as well as a stop were present during practice, subjects also performed less accurately, although they did not need to attend to the visual cue. All types of training were better than no training at all. Results are discussed in terms of the role of visual feedback in the development and assessment of programs for movement.