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Titlebook: Cognitive Workload and Fatigue in Financial Decision Making; Stephen J. Guastello Book 2016 Springer Japan 2016 Cognitive fatigue.Cognitiv

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樓主: Julienne
21#
發(fā)表于 2025-3-25 04:49:08 | 只看該作者
The Performance-Variability Paradox: Optimizing,tive . was associated with negative autocorrelations in a time series. (c) . was the best predictor of performance of the variables studied; (d) three other significant predictors were scores on an anagrams test and ratings of physical demands and performance demands; (e) persistence as evidenced by
22#
發(fā)表于 2025-3-25 11:07:15 | 只看該作者
23#
發(fā)表于 2025-3-25 13:25:01 | 只看該作者
Theoretical Issues in Cognitive Workload and Fatigue,in the nonlinear dynamical systems theory that is the central concern for this book. The roles of working memory and individual differences in cognitive processes are outlined. The chapter culminates in a pair of cusp catastrophe models for cognitive workload and fatigue. The models feature prominen
24#
發(fā)表于 2025-3-25 19:38:12 | 只看該作者
25#
發(fā)表于 2025-3-25 22:02:11 | 只看該作者
Individual Differences in the Assessment of Cognitive Workload,tive ratings of workload and actual performance. Previous work with vigilance tasks showed that a substantial part of subjective workload, and further connections to actual performance, were associated with psychosocial variables related to elasticity as defined in the cusp catastrophe models for co
26#
發(fā)表于 2025-3-26 01:47:58 | 只看該作者
27#
發(fā)表于 2025-3-26 07:13:59 | 只看該作者
The Performance-Variability Paradox: Risk Taking,es. Although the rescaled range statistic, ., is defined as having a range between 0 and 1, 24?% of the 172 time series were negative. Results confirmed that negative . was possible and not a result of psychometric error. Field dependence and . for the risk-taking time series were the best predictor
28#
發(fā)表于 2025-3-26 09:56:41 | 只看該作者
29#
發(fā)表于 2025-3-26 16:19:00 | 只看該作者
30#
發(fā)表于 2025-3-26 17:44:07 | 只看該作者
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