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Related Experiment Video

Updated: Jul 14, 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

A self-analysis of the NASA-TLX workload measure.

Jan M Noyes¹, Daniel P J Bruneau

¹Department of Experimental Psychology, University of Bristol, 8 Woodland Road, Bristol BS8 ITN, UK. j.noyes@bristol.ac.uk

|June 20, 2007

Summary

The computer version of the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) requires more workload than the paper version. This finding impacts how workload measures are used in computer-based testing environments.

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Area of Science:

Human-Computer Interaction
Cognitive Psychology
Ergonomics

Background:

The proliferation of computer use in testing and material administration necessitates reliable workload assessment.
Subjective workload measures are crucial for understanding user experience in digital environments.
The National Aeronautics and Space Administration-Task Load Index (NASA-TLX) is a widely recognized tool for workload assessment.

Purpose of the Study:

To compare the workload costs associated with computer-based versus paper-based administration of the NASA-TLX.
To determine if the medium of administration affects the perceived workload.
To provide insights into the practical implications of using digital workload assessment tools.

Main Methods:

Administering the NASA-TLX in both computer-based and paper-based formats.
Collecting and statistically analyzing workload scores from participants for each format.
Comparing the workload scores between the two administration media.

Main Results:

A significant difference in workload scores was observed between the computer and paper versions of the NASA-TLX.
The computer-based administration of the NASA-TLX resulted in higher workload scores compared to the paper-based version.
This suggests that the digital format itself contributes to increased perceived workload.

Conclusions:

The computer version of the NASA-TLX imposes a greater workload on users than its paper counterpart.
These findings have practical implications for the selection and implementation of workload measures in computer-based testing.
Further research may be needed to optimize digital workload assessment tools to minimize extraneous cognitive load.