Using Meta-Analyses Results and Data Gathering to Support Human Performance Model Development

Abstract

Human performance modeling provides a tool to facilitate the development of well-designed systems that support their users. However, models need to be based on and compared against empirical human-in-the-loop data to ensure that the human performance predictions are correct. This paper describes an approach to gathering already-existing empirical data to support the development of a model of astronaut performance in long-duration space missions.