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Improving Human Performance in Dynamic Tasks

Applications in Management and Industry

Hassan Qudrat-Ullah

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Theoretische Physik

Beschreibung

This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects.  

Decision making in dynamic tasks can be improved through training with system dynamics–based interactive learning environments (ILE’s) that include systematic debriefing.  Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed “evaluation model” to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.


             


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Schlagwörter

human performance in dynamic tasks, debriefing on stuctural knowledge, renewable resources, characteristics of debriefing, interactive learning environments, simulation-based education and training, debriefing and task performance in dynamic tasks, debriefing on heuristics knowledge, system dynamics, decision support systems, dynamics decisions in a simulation environment, debriefing based ILE