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Related Experiment Videos

Speech measures indicating workload demand

M Brenner1, E T Doherty, T Shipp

  • 1National Transportation Safety Board, Washington, DC 20594.

Aviation, Space, and Environmental Medicine
|January 1, 1994
PubMed
Summary
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Increased workload demands significantly elevated heart rate and speech measures like pitch and loudness. Speech analysis offers a practical method for assessing workload, with a derived measure showing robust individual differences.

Area of Science:

  • Human Factors and Ergonomics
  • Speech Science
  • Physiological Monitoring

Background:

  • Workload assessment is crucial in human performance studies.
  • Objective measures are needed to quantify cognitive and physical demands.
  • Speech and physiological signals are potential indicators of workload.

Purpose of the Study:

  • To investigate the impact of varying workload demands on physiological and speech parameters.
  • To determine the efficacy of speech analysis as a workload indicator.
  • To explore the relationship between task difficulty, incentives, and physiological/speech responses.

Main Methods:

  • 17 male subjects performed a manual tracking task under three conditions: difficult, easy, and baseline.
  • Physiological measures (heart rate) and six speech measures (pitch, loudness, rate, jitter, shimmer) were recorded.

Related Experiment Videos

  • A derived speech measure combining multiple speech parameters was analyzed.

    • Main Results:

    • Heart rate, speaking fundamental frequency (pitch), and vocal intensity (loudness) significantly increased with workload.
    • Speaking rate showed a marginal increase; vocal jitter and shimmer did not change reliably.
    • A derived speech measure demonstrated significant increases with workload and individual variability.

    Conclusions:

    • Physiological and speech measures, particularly pitch and loudness, are sensitive to workload demands.
    • Speech analysis, especially using derived measures, provides a practical and robust method for workload assessment.
    • This research supports the use of speech analysis in human factors and performance monitoring.