Abstract
Designers of training-simulators have traditionally depended on task-analysis as the main informational resource for design. Although traditional task-analysis provides information about the necessary details of a task and the required steps in performance, it is deficient in representing a skill and its qualitative dimensions. This deficiency has led to lingering confusions for designers and resulted in using challenging constructs such as fidelity. To provide richer information about skills, this article proposes a novel design method. The method gathers information of skills directly from studying multiple experts by videorecording their performance in target environments. The recordings are then used to create a model of average expert behaviour that can directly guide the design of simulators. An experimental example shows the practicality of the method in providing specific information for human factors/ergonomics practitioners in the design and improvement of training-simulators. By focussing on experts and videorecording their performance, the method provides multiple benefits to the design such as increasing the validity of the performance model, creating a qualitative model of skills, and proposing a generic solution to the design problem.
Acknowledgement
Helpful reviews from Shekoofeh Hedayati, Dr. John M. Carroll, and anonymous reviewers during the preparation of this article are gratefully acknowledged.
Disclosure statement
No potential conflict of interest is reported by the author.
Additional information
Notes on contributors
Pooyan Doozandeh
Pooyan Doozandeh is a PhD student in the College of Information Sciences and Technology at The Pennsylvania State University. His educational background is in Psychology and Computer Engineering, and he has the experience of research in various areas of applied psychology. His current research is focussed on topics in applied psychology and human factors, with a focus on task-analysis, job-analysis, visual methods, and training.