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Validation of a software program for measuring fatigue-related changes in keystroke durations.

Jeong Ho Kim¹, Peter W Johnson

¹Department of Industrial and Systems Engineering, University of Washington, Seattle, WA 98195, USA. jhkim01@ uw.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

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Software accurately measures keystroke durations, a potential indicator of muscle fatigue from computer use. This finding supports using software tools to study musculoskeletal disorders (MSDs) linked to intensive computer work.

Area of Science:

Ergonomics
Human-Computer Interaction
Biomedical Engineering

Background:

Intensive computer use is linked to musculoskeletal disorders (MSDs).
Muscle fatigue is a suspected contributing factor to MSDs.
Keystroke durations may serve as a surrogate measure for muscle fatigue.

Purpose of the Study:

To evaluate the accuracy of OS-dependent software for measuring keystroke durations.
To compare software measurements with a gold standard (USB analyzer).

Main Methods:

Collected keystroke data from six subjects.
Analyzed keystroke durations using both OS-dependent software and a USB analyzer.
Compared measurements between the two systems.

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Main Results:

The software underestimated keystroke durations by 3.8 ms (103.5 ms vs. 107.3 ms; p < 0.0001).
Individual keystroke durations showed a high correlation between the software and USB analyzer (R² = 0.997).

Conclusions:

Despite minor underestimation, the software program is a reliable tool for collecting keystroke duration data.
This validated method can aid in researching MSDs associated with computer use.