ANALYSIS IN MAN-TASK SYSTEM BEHAVIOR STUDIES

Studies of man-task system behavior start with the obtaining of behavi oral data. The recorded variables are generally numerous, can be objec tive and/or subjective and can be classified by their scale types. The next stage is to describe the behavior through a preprocessing techni que in such a way that all variables have the same scale type. To achi eve this goal, the qualitative scale is chosen but to lose as little i nformation as possible from a quantitative to qualitative scale transf ormation, fuzzy categories are considered. The next stage is to analyz e the resulting data set. A data set is considered through an observat ion X category table and studied using either the simple or multiple c orrespondence factor analysis. These methods yield both mathematical a nd descriptive behavior patterns. Their advantages are to not consider a priori too much constrained mathematical hypotheses and too much sy nthesized indicators (computed over the subject sample, for example). The general data analysis procedure (data characterizing/correspondenc e analysis) is described for four different data set types: judgments using quantitative scales, multidimensional signals, viewer behavior u sing eye movements, and operator behavior in tracking task.