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Related Experiment Video

Updated: Jun 27, 2026

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Assessing the Relationship Between Digital Trail Making Test Performance and IT Task Performance: Empirical Study.

Tanguy Depauw¹, Jared Boasen^1,2, Pierre-Majorique Léger¹

¹Tech3lab, HEC Montréal, Montréal, QC, Canada.

JMIR Human Factors

|June 14, 2024

Summary

A quick digital Trail Making Test (TMT) called Axon effectively predicts user experience in IT tasks by assessing cognitive functions. This tool is valuable for UX research due to its speed and remote capabilities.

Keywords:

CAPTCHA Trail Making Test cognitive assessment cognitive function cognitive profile human factors information technology task performance user experience

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Published on: October 6, 2020

Area of Science:

Human-Computer Interaction
Cognitive Psychology
User Experience Research

Background:

Cognitive functional ability is crucial for IT accessibility and user experience (UX) research.
Traditional cognitive assessments are often too lengthy for UX studies.
A short, valid cognitive assessment is needed for IT-related UX research.

Purpose of the Study:

To evaluate a digital Trail Making Test (TMT) as a cognitive profiling tool for IT UX research.
To assess the predictive validity of the digital TMT on IT task performance.
To explore its discriminant validity for cognitive functions in IT tasks.

Main Methods:

Administered a digital TMT (Axon) and 5 IT tasks (CAPTCHAs) to 27 healthy participants.
Evaluators rated cognitive functions required for CAPTCHA completion.
Cross-validated results with the original TMT and other cognitive assessments.

Main Results:

Axon (digital TMT) took under 5 minutes to administer.
Axon performance significantly predicted overall IT task performance (P=.001).
Axon B was particularly predictive for tasks requiring executive processing and pattern recognition.

Conclusions:

Cognitive function, measured by Axon, explains performance variations in IT tasks.
Axon shows potential as a brief, remotely implementable cognitive profiling tool for IT UX research.
Its predictive validity is notable for tasks involving executive function and visual processing.