The development of the human-automation behavioral interaction task (HABIT) analysis framework

Complex systems involve the collaboration of automated agents and goal-oriented human operators in a dynamic environment, and dynamic environments required dynamic automation. The implementation of automation fundamentally changes the nature of the cognitive demands by means of changing the role of the human operator. The augmentation of operator situation awareness has become a major design objective in the development of human-automated systems. Extensive literature identified the out-of-the-loop performance problem as a human-automation interaction challenge. This thesis presents the Human-Automation Behavioral Interaction Task (HABIT) Analysis, as a novel approach to assessing human-automation interaction challenges, such as out-of-the-loop consequences. The novel framework considers the drivers of system performance in terms of cognitive activity and human behavior.