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Related Experiment Video

Updated: Apr 7, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

Measuring cognitive load: performance, mental effort and simulation task complexity.

Faizal A Haji^1,2,3, David Rojas^1,2, Ruth Childs⁴

¹Faculty of Medicine, Wilson Centre, University of Toronto, Toronto, Ontario, Canada.

Medical Education

|July 9, 2015

Summary

This summary is machine-generated.

Cognitive load measures, including mental effort ratings and secondary task performance, effectively track changes in novice surgical skills training. These tools aid in optimizing simulation-based education by assessing task complexity and learner expertise.

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Area of Science:

Medical Education
Cognitive Psychology
Surgical Simulation

Background:

Growing interest in applying cognitive load theory to healthcare simulation.
Need for sensitive measures to assess cognitive load variations due to instructional design.
Mental effort ratings and secondary task performance show promise for cognitive load measurement in simulation.

Purpose of the Study:

Investigate the sensitivity of mental effort ratings and secondary task performance to intrinsic load differences.
Examine how task complexity and learner expertise affect cognitive load during surgical skills simulation.
Evaluate these measures for tracking cognitive load in simulation-based training.

Main Methods:

28 novice medical students trained on simple or complex surgical knot-tying simulations.
Performance assessed via time and movement efficiency; cognitive load via subjective mental effort ratings (SRME) and simple reaction time (SRT) secondary task.
Measures collected at trials 1, 5, 9, and 13.

Main Results:

Significant improvements in knot-tying performance (time, movements) and reduced cognitive load (SRME, SRT) observed during training.
Simple-task group showed superior knot tying and a faster SRME decline compared to the complex-task group.
SRT trends mirrored SRME, but group differences were not statistically significant.

Conclusions:

Secondary task performance and mental effort ratings are sensitive to intrinsic load changes in novice simulation-based learning.
These measures can effectively track cognitive load during skills training.
Mental effort ratings are sensitive to task complexity variations, suggesting combined subjective and objective measures enhance simulation instructional design research.