The questionnaire has 6 subscales/submeasures, that assess different dimensions of workload.
- Mental Demand: mental effort and cognitive load required to perform the task.
- Physical Demand: physical effort and exertion involved in performing the task.
- Temporal Demand: perceived time pressure and the amount of time available to complete the task.
- Performance: individual's perception of their own performance during the task.
- Effort: perceived level of effort and energy expenditure required to complete the task.
- Frustration: degree of annoyance, stress, and dissatisfaction experienced during the task.
Scoring and Interpretation
Participants rate each submeasure on a scale of 0 to 100. Scoring and interpretation vary depending on the specific study or context. Generally, higher scores indicate a higher perceived workload in the respective submeasure.
Researchers often analyze the individual submeasure scores and the overall workload score to gain insights into the specific dimensions of workload that are most significant in a given task or situation. The questionnaire can help identify areas where workload can be optimized or where additional support or resources may be required.
Examples of use in Autism Research in evaluating workload and cognitive demands
Examples of use in Autism Research in evaluating workload and cognitive demands
Study: "Task load and verbal responses to questions in children with autism spectrum disorder"Citation: Nishida, T., Yuhi, T., Kaneoke, Y., Kurosawa, K., & Dan, I. (2014). Task load and verbal responses to questions in children with autism spectrum disorder. Frontiers in Human Neuroscience, 8, 937.
Link: https://doi.org/10.3389/fnhum.2014.00937
Study: "Measurement of cognitive workload in individuals with high-functioning autism spectrum disorder using a virtual reality task"Citation: Park, S. M., Chong, S. C., Lim, S. L., Kim, J. S., & Kim, J. S. (2020). Measurement of cognitive workload in individuals with high-functioning autism spectrum disorder using a virtual reality task. Applied Sciences, 10(2), 581.
Link: https://doi.org/10.3390/app10020581
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