This study investigated voluntary action theories by examining how target predictability and control stick type affect tracking performance. Findings suggest that both inflow and outflow models of motor control can be supported depending on experimental conditions.
Area of Science:
Cognitive Psychology
Motor Control
Human Factors
Background:
Conflicting theories exist regarding voluntary action: motor outflow (predictive) and motor inflow (reactive).
Distinguishing between these theories requires identifying conditions where each model's predictions are clearly observed.
Understanding the fundamental conditions is crucial for resolving the debate on voluntary action mechanisms.
Purpose of the Study:
To empirically determine the conditions under which motor outflow and motor inflow theories of voluntary action are supported.
To investigate the influence of target predictability and control stick proprioceptive feedback on tracking performance.
To resolve the parametric dispute between motor outflow and motor inflow theories.
Main Methods:
A within-subjects design was employed with six undergraduate participants.
Independent variables included target motion regularity (predictable vs. random), control stick type (pressure vs. free, loaded vs. unloaded), and practice.
The dependent variable was the time integral of error in a pursuit tracking task.
Main Results:
A pressure stick improved performance with random targets (supporting inflow), while a free stick was better with predictable targets (supporting outflow).
Initially, an unloaded stick outperformed an elastically loaded one (supporting outflow), but this reversed by the end of training (supporting inflow).
Significant results (p < .05) were found for all independent variables.
Conclusions:
The motor outflow versus motor inflow debate is resolvable through parametric manipulation of experimental conditions.
Tracking performance is influenced by the interplay between target predictability, proprioceptive feedback, and practice.
Evidence supports both reactive inflow and predictive outflow models of voluntary action depending on task parameters.