Acceptance of advanced decision-aiding automation.

MUFASA, Multidimensional Framework for Advanced SESAR Automation, aimed to develop a framework for designing future levels of ATM automation, based primarily on a series of novel human-in-the-loop simulations. Building on innovative ecological CD&R displays, it aimed to experimentally manipulate automation level, traffic complexity and, most notably, “heuristic conformity” or the fit between human and automation solutions to medium-term planning and separation conflicts.