Testing for controlled variables: a model-based approach to determining the perceptual basis of behavior

Area of Science:

• Behavioral neuroscience
• Cognitive psychology
• Control theory

Background:

• Perceptual control theory (PCT) posits that behavior is organized around controlling perceptual variables.
• Identifying the precise perceptual variables organisms control is crucial for understanding behavior.
• Apparent perceptual bases for behavior may not always reflect the actual controlled variables.

Purpose of the Study:

• To investigate the perceptual variables underlying behavior in a pursuit-tracking task using PCT.
• To differentiate between the apparent and actual perceptual bases of behavior.
• To demonstrate the utility of control models in identifying controlled variables.

Main Methods:

• A pursuit-tracking task was designed where participants controlled a cursor's vertical position to align with a target.
• The target was presented at varying horizontal distances, creating different visual scenarios.
• A control model was developed to analyze the perceptual variables influencing tracking behavior.

Main Results:

• The study found that vertical distance between the cursor and target was not the primary controlled perceptual variable.
• A control model indicated that the angle between the cursor and target better represented the controlled perceptual variable.
• This suggests that organisms may control more complex perceptual variables than initially apparent.

Conclusions:

• The findings highlight the importance of rigorous analysis in identifying the true perceptual variables that guide behavior.
• PCT provides a framework for distinguishing actual from apparent perceptual control.
• Control models are effective tools for testing hypotheses about controlled variables in behavioral research.