Human Performance Data Needed for Training Device Design Decisions.

Abstract
The goal of this project was to study the types of human perception and performance information that training device designers need in making design decisions. There were two objectives: (1) to identify the types of human performance data needed to make these decisions and (2) to make recommendations about decision support for training device designers. A total of 50 experienced designers were studied. For a subset of 42 of these designers, the interviews focused on critical design decisions where there was a need for perception/information processing data. Several types of data were collected from these interviews. One finding indicated that for the sample of critical decisions studied, systematic decision-making strategies were used in a minority of cases. A second result was the identification of frequent questions about human performance data. A third finding revealed the heavy reliance on informal experiments and analogous cases for guidance in resolving design questions, and the lesser reliance on published literature. Implications were presented for the development of Designers' Associate. Future research areas were presented, primarily with methods for helping designers to extrapolate form research data and from analogues cases.

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