Development of a Taxonomy of Human Performance: Evaluation of a Task Classification System for Generalizing Research Findings from a Data Base
AMERICAN INSTITUTES FOR RESEARCH PITTSBURGH PA
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The paper reports on a research effort to assess the feasibility of constructing a data base for improving generalization of reasearch results about human performance. A criterion measure task classification system was applied to a portion of the existing literature on learning and environmental variables. Optimum distribution of practice and knowledge of results were the two learning variables investigated. The environmental factor investigated was the effects of different noise intensities. It was shown that for certain variables and certain task conditions the categorization system was effective in predicting human performance across a variety of tasks. Implications for developing a data base are described.