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Takatalo, Jari; Hakkinen, Jukka; Kaistinen, Jyrki; Nyman, Gote – Simulation & Gaming, 2011
Playing entertainment computer, video, and portable games, namely, digital games, is receiving more and more attention in academic research. Games are studied in different situations with numerous methods, but little is known about if and how the playing situation affects the user experience (UX) in games. In addition, it is hard to understand and…
Descriptors: Video Games, Measurement Techniques, Laboratories, Males
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Qudrat-Ullah, Hassan – Simulation & Gaming, 2007
According to the hypothesis of misperception of feedback, people's poor performance in renewable resource management tasks can be attributed to their general tendency to systematically misperceive the dynamics of bioeconomic systems. The thesis of this article is that dynamic decision performance can be improved by helping individuals develop more…
Descriptors: Feedback (Response), Computer Simulation, Evaluation Criteria, Laboratory Experiments
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Dutton, Jane E.; Stumpf, Stephen A. – Simulation & Gaming, 1991
Discusses the use of behavioral simulations to study the processes that underlie strategy formulation and implementation. Seven behavioral simulations that attempt to mirror top management interactions in an organization are described and compared; research measures used are discussed; and implications for studies of strategic processes are…
Descriptors: Administration, Behavioral Objectives, Comparative Analysis, Measures (Individuals)
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Mailles, Stephanie; Batatia, Hadj – Simulation & Gaming, 1998
Describes use of a computerized simulation to study prediction in a complex environment (i.e., bus traffic control). Nature of the task, presentation method, number of repetitions, and length of time taken for prediction were measured. Prediction was significantly affected by all factors except number of repetitions. No learning effect was…
Descriptors: Cognitive Processes, Computer Oriented Programs, Computer Simulation, Prediction
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Gosenpud, Jerry; Miesing, Paul – Simulation & Gaming, 1992
Describes a study that examined the relative impact of 44 independent variables on performance in a business simulation used in an administrative policy course. Categories of variables include ability, motivation, interest, confidence, cohesion, and organizational formality; and results indicate that motivation and interest have the most effect on…
Descriptors: Academic Ability, Academic Achievement, Administrator Education, Computer Simulation