Experimental Evaluation of a Model of Mental Workload

Author:

Hancock P. A.1,Caird J. K.1

Affiliation:

1. University of Minnesota, Minneapolis, Minnesota

Abstract

This study was designed to test predictions from a model of mental workload. The model predicts that mental workload grows as perceived distance from a task goal increases and the effective time for action decreases. Decreases in workload can be achieved by actions that bring the task goal into the region of acceptable time/distance constraints for successful resolution. We reported an experiment that tested these assertions using the Timepools performance task. Timepools generates a spatial representation of a shrinking temporal target to assess the effects of path length (i.e., the number of sequential targets to be acquired) and shrink rate (i.e., elapsed time during which the circle is halved in area) on reaction time (RT), movement time (MT), error rate, and the subjective perception of workload. Data from the experiment indicated systematic effects for task-related factors across performance and workload measures. Path length and shrink rate had differential effects on both RT and MT, which were also reflected in the components of the individual workload scales. The results support a general form of the workload model which may help researchers and practitioners in the difficult task of work load prediction

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Reference40 articles.

1. Becker, A. B., Warm, J. S., Dember, W. N., and Hancock, P. A. (1991). Effects of feedback on perceived workload in vigilance performance. In Proceedings of the Human Factors Society 35th Annual Meeting (pp. 1491–1494). Santa Monica, CA: Human Factors and Ergonomics Society.

2. Chignell, M. H., and Hancock, P. A. (1985). Knowledge based load leveling and task allocation in human-machine systems. In Proceedings of the 21st Annual Conference on Manual Control (9.1–9.11). Columbus, OH: National Aeronautics and Space Administration.

3. Individual Differences in Subjective Estimates of Workload

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