Cognitive Workload and Fatigue in Financial Decision Making

This booklet provides new conception and empirical stories at the roles of cognitive workload and fatigue on repeated monetary judgements. The mathematical versions which are built the following make the most of cusp disaster capabilities for discontinuous alterations in functionality and combine aim measures of workload, subjective studies, and person ameliorations one of the selection makers. extra nonlinear dynamical strategies are tested in regards to endurance and antipersistence in judgements, entropy, additional factors of performance, and the identity of risk-optimization profiles for lengthy sequences of selections.

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Additional resources for Cognitive Workload and Fatigue in Financial Decision Making (Evolutionary Economics and Social Complexity Science, Volume 13)

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For a given type of task, the executive function could play a prominent role during skill acquisition and the earlier stages of mastery, but could relinquish its involvement as the execution becomes more automatic. Because cognition is often tied to action, the span of relevant degrees of freedom includes the whole perception-action sequence in the sense of Gibson’s (1979) ecological perspective. According to Hong (2010), the increased variability in performance that sets in during fatigue is a sign of an impending phase shift in one of two types.

The cusp models for workload would be better predictors of change in optimization and risk tasking than linear models containing the same variables. The bifurcation variables would be anxiety, PWE, conscientiousness (two separate variables), EI, frustration, anagrams, and GEFT. The asymmetry variables would be speed condition and shifts to a higher level of workload. 3. The cusp models for fatigue would also be better predictors of change in optimization and risk taking than linear models containing the same variables.

D. ), Emotional intelligence in everyday life: A scientific inquiry (pp. 3–24). Philadelphia: Taylor & Francis. Mayer, J. , & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. ), Emotional development and emotional intelligence: Educational implications (pp. 3–34). New York: Basic Books. , Newell, K. -T. (2009). Nonlinear dynamics of motor learning. Nonlinear Dynamics, Psychology, and Life Sciences, 13, 3–26. McCrae, R. , & Costa, P. , Jr. (1985). Updating Norman’s “adequate taxonomy:” Intelligence and personality dimensions in natural language questionnaires.

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