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Related Experiment Video

Updated: Feb 12, 2026

Corticospinal Excitability Modulation During Action Observation

Corticospinal Excitability Modulation During Action Observation

Published on: December 31, 2013

Efficiency in Rule- vs. Plan-Based Movements Is Modulated by Action-Mode.

Jean P P Scheib¹, Sarah Stoll¹, J Lukas Thürmer^2,3

¹Department of Psychology, University of Konstanz, Konstanz, Germany.

Frontiers in Psychology

|March 30, 2018

Summary

This summary is machine-generated.

Rule-based action selection offers advantages over plan-based selection in motor cognition, especially under higher cognitive load. This study explored these effects in real object interactions, confirming rule-based benefits.

Keywords:

action planning drift diffusion end-state comfort grasping implementation intentions motor cognition pantomime

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Area of Science:

Cognitive Neuroscience
Motor Control
Human Action Selection

Background:

The rule/plan motor cognition (RPMC) paradigm distinguishes between plan- and rule-based action selection using visually identical motor outputs.
Previous RPMC studies primarily used pantomimed movements, leaving generalizability to real object interaction unclear.

Purpose of the Study:

To investigate the generalizability of RPMC findings to real object interaction tasks.
To compare the efficiency of rule-based versus plan-based action selection in both pantomime and real object manipulation.
To examine the influence of cognitive load on action selection mechanisms.

Main Methods:

Experiment A: 16 healthy participants performed RPMC tasks involving pantomimed and real object grasp-to-rotate actions within-subjects.
Experiment B: 24 healthy participants performed the real object RPMC task under blocked and task-switching conditions.
Diffusion model analysis was employed to assess processing efficiency.

Main Results:

Real object interaction showed faster response times than pantomime, with a more pronounced rule-based advantage in pantomime.
Plan-based action selection resulted in longer response times and less efficient information processing compared to rule-based selection.
Task switching, indicative of higher cognitive load, further enhanced the response time advantage for rule-based actions.

Conclusions:

Rule-based action selection generally offers an advantage over plan-based selection in motor cognition.
Differential mechanisms underlie action selection, modulated by the action-mode (pantomime vs. real object) and cognitive load.
Implementation intentions (if-then rules) demonstrate a cognitive load-dependent advantage in motor cognition.