This study tests the effectiveness of a training strategy to improve situational awareness skills. The training approach suggested by this study is to expose subjects initially to only those cues relevant to the task. When other extraneous cues are added, these subjects should be better at extracting those familiar cues relevant to the task than subjects who are first exposed to both relevant and irrelevant cues. Subjects trained with only the relevant cues were able to identify a significantly higher percentage (60%) of patterns than subjects trained in the cluttered environment (43%). The results support the use of the proposed training strategy for situational awareness. Signal detection theory and state-dependent learning theory are discussed in relation to the findings.
This paper focuses on two major issues concerning task taxonomies which to date have been ignored. The first issue involves the development of a set of criteria for the evaluation of existing and future task taxonomies. A set of criteria is proposed and several major existing taxonomies are evaluated. The second issue concerns the relation of empirical data, provided by field and laboratory research, to the development of the task taxonomy. Three approaches are cited which seem to encompass the relation between the taxonomy and the empirical data used in the development of task taxonomies. It is suggested that one of these approaches appears to be better suited for the development of a taxonomy to predict operator performance in any system.
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