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103–130. : Dynamic decision making: The effects of task complexity and feedback delay. , Leplat, J. ) Distributed Decision Making: Cognitive Models for Cooperative Work, pp. 319–334. : Distributed decision making in dynamic environments: time scales and architecture in decision making. In: Caverni, J. ) Contributions to Decision Making, pp. 155–174. : Cognitive effects from process learning with computer-based simulations. Comput. Human Behav. : Do they know what they are doing? An evaluation of word-processor user’s implicit and explicit task-relevant knowledge, and its role in self-directed learning.
34] in their well-known LOHHAUSEN study showed that DDM performance was related to motivational and emotional factors to a greater extent than intellectual factors. However, Beckmann and Guthke  suspected that LOHHAUSEN findings might have been due to the fact that the subjects’ interactions with the system were mediated by the experimenter. We did not find any subsequent study to empirically resolve this rather inconclusive finding. In the design of an ILE, therefore, the inclusion of motivational artifacts is likely to engage the users in learning and performing better in dynamic tasks.
Dynamic tasks often present the decision-makers with demanding structural information processing scenarios. Cognitive feedback appears to help the decision-makers perform better in dynamic tasks by means of reducing this information processing workload. 36 2 Empirical Evidence on Dynamic Decision-Making and ILEs Use of heuristics has shown to improve the performance of decision-makers in dynamic tasks. Hsiao  tested the hypothesis that providing a benchmark outcome improves task performance.