Analysis of work seats user's perception by means of statistical multivariate tools

Methods and tools that allow seat evaluation and selection in specific work environments are permanently a research issue in Ergonomics. In this study, multivariate tools were used to analyse satisfactions and discomfort questionnaires data from a seat evaluation experiment, performed at an industrial laboratory. The aim of this paper is the selection of the best seat based on user's perceptions. Thus, Analysis of Variance, Cluster Analysis, and Factorial Analysis were used to explain the selection based on the obtained constructs: Well-being, Functionality, and Discomfort.

Multivariate analysis; custer analysis; factorial analysis; comfort; discomfort; work seat