Cognitive Workload and Fatigue in Financial Decision Making by Stephen J. Guastello

Author:Stephen J. Guastello
Language: eng
Format: epub
Publisher: Springer Japan, Tokyo

3.1.3.3 Fatigue Effects

The fatigue effect that was built on the full spectrum of data was greater than the workload effect, evidenced by the difference in R 2 coefficients between cusp and linear alternative models. Fatigue models accommodate both the drop in performance associated with being tired and the increase in performance associated with the warm-up effect. The speed stress variable, which represented the number of stimuli processed in a given amount of time, and the amount of work done, which was the actual number of correct optimizations between the start and end points, acted as the bifurcation variables that separated those who lost work capacity and those who experienced the exercise effect. The bifurcations variables were the same for both optimization and risk taking.

The asymmetry parameter in fatigue models consists of compensatory abilities. Arithmetic , which should be directly related to optimizing performance, was not part of the fatigue model. GEFT, however, was part of both the cusp and linear models; people who scored higher on GEFT (field independent), demonstrated greater optimization and less risk taking. Anagrams were negatively weighted in the risk taking model, indicating that people who took more risks under fatiguing conditions were less creative, or not as proficient in fluid intelligence as those who controlled the risk-taking tendency.

The foregoing pattern of results indicates that the abilities that are more likely to be helpful in a fatigue process are compensatory rather than direct. Abilities drawn from the fluid domain also appear to be more viable than those from the crystallized domain as initially suspected. It is possible that the fluid abilities afford more mental degrees of freedom to compensate fatigue, but this speculation requires much further research.

The psychosocial variables did not contribute to the asymmetry parameter in either fatigue model. EI, conscientiousness, and impulsivity did contribute to the linear models for fatigue and risk taking, however. Conscientiousness and impulsivity were prominent bifurcation variables in the early stages of the experiment, but gave way to other effects later on. The impact of the psychosocial variables are discussed further below.

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