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Related Experiment Video

Updated: Mar 26, 2026

New Variations for Strategy Set-shifting in the Rat

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

Strategy Changes After Errors Improve Performance.

Liesbet Van der Borght¹, Charlotte Desmet¹, Wim Notebaert¹

¹Department of Experimental Psychology, Ghent University Ghent, Belgium.

Frontiers in Psychology

|January 22, 2016

Summary

This summary is machine-generated.

Performance improvement after errors is observed in complex tasks, contradicting traditional error monitoring views. Switching strategies post-error enhances performance, unlike repeating strategies.

Keywords:

cognitive control mental arithmetic post-error accuracy increase post-error slowing strategy-use

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Area of Science:

Cognitive Psychology
Neuroscience
Human Performance

Background:

Traditional error monitoring theories suggest performance does not improve after errors.
Recent research indicates laboratory tasks offer a limited view of error monitoring.
Complex cognitive tasks may reveal different post-error adjustment mechanisms.

Purpose of the Study:

To investigate strategy use following errors in a mental arithmetic task.
To determine if performance improves after errors in more ecologically valid settings.
To examine the relationship between post-error strategy switching and performance.

Main Methods:

Participants completed a mental arithmetic task.
Error occurrences were monitored.
Strategy use following errors was analyzed.
Performance changes after errors were measured.

Main Results:

Increased performance was observed after errors in the mental arithmetic task.
Switching to a different strategy after an error led to improved performance.
Repeating the same strategy after an error resulted in decreased performance.

Conclusions:

Post-error behavioral improvement can be observed in more ecologically valid tasks.
Strategic adaptation after errors is crucial for performance enhancement.
Findings challenge traditional models of error monitoring by highlighting task complexity's role.