scholarly journals Prolonged response time helps eliminate residual errors in visuomotor adaptation

Author(s):  
Lisa Langsdorf ◽  
Jana Maresch ◽  
Mathias Hegele ◽  
Samuel D. McDougle ◽  
Raphael Schween

AbstractOne persistent curiosity in visuomotor adaptation tasks is that participants often do not reach maximal performance. This incomplete asymptote has been explained as a consequence of obligatory computations within the implicit adaptation system, such as an equilibrium between learning and forgetting. A body of recent work has shown that in standard adaptation tasks, cognitive strategies operate alongside implicit learning. We reasoned that incomplete learning in adaptation tasks may primarily reflect a speed-accuracy tradeoff on time-consuming motor planning. Across three experiments, we find evidence supporting this hypothesis, showing that hastened motor planning may primarily lead to under-compensation. When an obligatory waiting period was administered before movement start, participants were able to fully counteract imposed perturbations (Experiment 1). Inserting the same delay between trials – rather than during movement planning – did not induce full compensation, suggesting that the motor planning interval influences the learning asymptote (Experiment 2). In the last experiment (Experiment 3), we asked participants to continuously report their movement intent. We show that emphasizing explicit re-aiming strategies (and concomitantly increasing planning time) also lead to complete asymptotic learning. Findings from all experiments support the hypothesis that incomplete adaptation is, in part, the result of an intrinsic speed-accuracy tradeoff, perhaps related to cognitive strategies that require parametric attentional reorienting from the visual target to the goal.

Author(s):  
Lisa Langsdorf ◽  
Jana Maresch ◽  
Mathias Hegele ◽  
Samuel D. McDougle ◽  
Raphael Schween

AbstractOne persistent curiosity in visuomotor adaptation tasks is that participants often do not reach maximal performance. This incomplete asymptote has been explained as a consequence of obligatory computations within the implicit adaptation system, such as an equilibrium between learning and forgetting. A body of recent work has shown that in standard adaptation tasks, cognitive strategies operate alongside implicit learning. We reasoned that incomplete learning in adaptation tasks may primarily reflect a speed-accuracy trade-off on time-consuming motor planning. Across three experiments, we find evidence supporting this hypothesis, showing that hastened motor planning may primarily lead to under-compensation. When an obligatory waiting period was administered before movement start, participants were able to fully counteract imposed perturbations (experiment 1). Inserting the same delay between trials - rather than during movement planning - did not induce full compensation, suggesting that the motor planning interval predicts the learning asymptote (experiment 2). In the last experiment, we asked participants to continuously report their movement intent. We show that emphasizing explicit re-aiming strategies (and concomitantly increasing planning time) also lead to complete asymptotic learning. Findings from all experiments support the hypothesis that incomplete adaptation is, in part, the result of an intrinsic speed-accuracy trade-off, perhaps related to cognitive strategies that require parametric attentional reorienting from the visual target to the goal.


2021 ◽  
Vol 23 (1) ◽  
pp. 123-132
Author(s):  
D. Yu. Balanev ◽  
E. V. Bredun

The present research featured the regularities, according to which the accuracy of human movements is associated with the length of these movements and time. The author considered the speed–accuracy tradeoff problem by analyzing the procedural aspect of cognitive performance. The experiment included more than a thousand participants and was performed on a portable touch screen device that tested the subject's attitude to solving problems in terms of speed or accuracy. The research objective was to identify significantly different ways of solving the speed–accuracy tradeoff dilemma. At the fine motor level, the participants failed to accomplish a one-to-one correspondence between target area and target time. This ambiguity was a manifestation of various cognitive strategies for performing a speed–accuracy tradeoff task. The Fitts law violations were determined using a wide range of statistical methods and manifested themselves at the level of criteria analysis for the normality of data distribution, types of variance analysis, and multivariate data analysis. The cluster analysis could register various strategies for performing the speed–accuracy tradeoff task. Additional variables, e.g. professional status of the subjects, made it possible to interpret the differences according to specific skills in solving cognitive tasks and to clarify the nature of these skills.


2019 ◽  
Author(s):  
Mazen Al Borno ◽  
Saurabh Vyas ◽  
Krishna V. Shenoy ◽  
Scott L. Delp

AbstractThe speed-accuracy tradeoff is a fundamental aspect of goal-directed motor behavior, empirically formalized by Fitts’ law, which relates movement duration to movement distance and target width. Here, we introduce a computational model of three-dimensional upper extremity movements that reproduces well-known features of reaching movements and is more biomechanically realistic than previous models. Critically, these features arise without the need of signal-dependent noise. We analyzed motor cortical neural activity from monkeys reaching to targets of different sizes. We found that the contribution of preparatory neural states to movement duration variability was greater for smaller targets than larger targets, and that movements to smaller targets exhibited less variability in preparatory neural states, but greater movement duration variability. Taken together, these results suggest that Fitts’ law emerges from greater task demands constraining the optimization landscape in a fashion that reduces the number of “good” control solutions (i.e., faster reaches). Thus, the speed-accuracy tradeoff could be a consequence of motor planning variability and optimal control theory, and not exclusively signal-dependent noise, as is currently held.Significance StatementA long-standing challenge in motor neuroscience is to understand the relationship between movement speed and accuracy, known as the speed-accuracy tradeoff. We introduce a computational model of reaching movements based on optimal control theory using a realistic model of musculoskeletal dynamics. The model synthesizes three-dimensional point-to-point reaching movements that reproduce kinematics features reported in motor control studies. Such high-fidelity modeling reveals that the speed-accuracy tradeoff as described by Fitts’ law emerges even without the presence of motor noise, which is commonly believed to underlie the speed-accuracy tradeoff. This suggests an alternative theory based on suboptimal control solutions. The crux of this theory is that some features of human movement are attributable to planning variability rather than execution noise.


2021 ◽  
Author(s):  
Matthew Weightman ◽  
John-Stuart Brittain ◽  
R.Chris Miall ◽  
Ned Jenkinson

A consistent finding in sensorimotor adaptation is a persistent undershoot of full compensation, such that performance asymptotes with residual errors greater than seen at baseline. This behaviour has been attributed to limiting factors within the implicit adaptation system, which reaches a sub-optimal equilibrium between trial-by-trial learning and forgetting. However, recent research has suggested that allowing longer motor planning periods prior to movement eliminates these residual errors. The additional planning time allows required cognitive processes to be completed before movement onset, thus increasing accuracy. Here we looked to extend these findings by investigating the relationship between increased motor preparation time and the size of imposed visuomotor rotation (30°, 45° or 60°), with regards to the final asymptotic level of adaptation. We found that restricting preparation time to 0.35 seconds impaired adaptation for moderate and larger rotations, resulting in larger residual errors compared to groups with additional preparation time. However, we found that even extended preparation time failed to eliminate persistent errors, regardless of magnitude of cursor rotation. Thus, the asymptote of adaptation was significantly less than the degree of imposed rotation, for all experimental groups. Additionally, there was a positive relationship between asymptotic error and implicit retention. These data suggest that a prolonged motor preparation period is insufficient to reliably achieve complete adaptation and therefore our results provide support for the proposal that the balance between error-based learning and forgetting (i.e., incomplete retention) contributes to asymptotic adaptation levels.


eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Mazen Al Borno ◽  
Saurabh Vyas ◽  
Krishna V Shenoy ◽  
Scott L Delp

A long-standing challenge in motor neuroscience is to understand the relationship between movement speed and accuracy, known as the speed-accuracy tradeoff. Here, we introduce a biomechanically realistic computational model of three-dimensional upper extremity movements that reproduces well-known features of reaching movements. This model revealed that the speed-accuracy tradeoff, as described by Fitts’ law, emerges even without the presence of motor noise, which is commonly believed to underlie the speed-accuracy tradeoff. Next, we analyzed motor cortical neural activity from monkeys reaching to targets of different sizes. We found that the contribution of preparatory neural activity to movement duration (MD) variability is greater for smaller targets than larger targets, and that movements to smaller targets exhibit less variability in population-level preparatory activity, but greater MD variability. These results propose a new theory underlying the speed-accuracy tradeoff: Fitts’ law emerges from greater task demands constraining the optimization landscape in a fashion that reduces the number of ‘good’ control solutions (i.e., faster reaches). Thus, contrary to current beliefs, the speed-accuracy tradeoff could be a consequence of motor planning variability and not exclusively signal-dependent noise.


1994 ◽  
Vol 23 (1) ◽  
pp. 53-61
Author(s):  
Carol L. Hodes

Subjects who were given imagery instruction prior to receiving the stimulus material required significantly more time to learn the material. The additional time indicates imagery use. The instructed subjects also had significantly faster retrieval time on a recognition posttest. Thus, there is an inverse relationship between learning time and retrieval time for imaged information. The posttest scores of the instructed subjects were not significantly higher than the uninstructed subjects. The two groups also had similar perceptions of their use of mental imagery. Mental imagery is proposed as a technique to help reduce the speed-accuracy tradeoff during performance. Imagery needs to be investigated further as a type of task-specific processing, since it involves deeper information processing than other cognitive strategies.


Author(s):  
Elliot Nauert ◽  
Douglas J. Gillan

In temporally-constrained reaching tasks, participants make rapid movements to a target while making their movements last a designated length of time. It has been well-established that effective target width, a measure of spatial accuracy, increases linearly with movement speed. This study sought to understand how individual differences in temporal sensitivity affect this speed-accuracy tradeoff. It was found that time sensitivity did not affect spatial components of the timed reaching task, but it was related to temporal components of the task. Ideas regarding the role of time perception in movement planning as well as differences in movement strategies for short and long target intervals are discussed.


2010 ◽  
Vol 31 (3) ◽  
pp. 130-137 ◽  
Author(s):  
Hagen C. Flehmig ◽  
Michael B. Steinborn ◽  
Karl Westhoff ◽  
Robert Langner

Previous research suggests a relationship between neuroticism (N) and the speed-accuracy tradeoff in speeded performance: High-N individuals were observed performing less efficiently than low-N individuals and compensatorily overemphasizing response speed at the expense of accuracy. This study examined N-related performance differences in the serial mental addition and comparison task (SMACT) in 99 individuals, comparing several performance measures (i.e., response speed, accuracy, and variability), retest reliability, and practice effects. N was negatively correlated with mean reaction time but positively correlated with error percentage, indicating that high-N individuals tended to be faster but less accurate in their performance than low-N individuals. The strengthening of the relationship after practice demonstrated the reliability of the findings. There was, however, no relationship between N and distractibility (assessed via measures of reaction time variability). Our main findings are in line with the processing efficiency theory, extending the relationship between N and working style to sustained self-paced speeded mental addition.


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