The DIVA project, launched in 1998, aimed at building and evaluating improved methods for Human-Machine Interface (HMI) design and evaluation. Its main goal is to improve crew situation awareness, one of the key safety factors in civil aviation. Controlled Flight Into Terrain (CFIT), one of the two design cases of the DIVA project, focuses on the prevention of a specific category of ground collisions. Such collisions are usually due to inappropriate terrain awareness. The Cognitive Function Analysis (CFA) method was used to support this design case. CFA is a cognitive engineering method that aims at describing the cognitive functions used by human agents interacting with automated systems, in order to help the design team optimize the human centered design of those systems, for example. Appropriate Aerospatiale Matra Airbus personnel was trained on and applied CFA to the CFIT design case in the industrial context of the design office. This paper presents ongoing work and the main lessons learned
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