Decision processes in emergency management are particularly complex. Operations managers have to make decisions under time pressure while the situation at hand changes continuously. As wrong decisions in emergencies often have drastic effects, operations managers try to receive information from various sources such as the emergency control centre, their operation forces, databases, electronic location maps and drones. However, previous research has shown that humans have only limited information processing capabilities, and once these are exceeded, task performance decreases. Augmented Reality (AR) offers entire new possibilities to visualise information. Previous research on the relationship between the use of AR for information visualisation and the experienced cognitive load yielded contradictory results. By using the design science approach, we therefore aim to develop an AR decision support system. In a comparative eye-tracking study, we plan to examine how different types of AR information visualisation affect the experienced cognitive load of operations managers and thus decision-making. In this research-in-progress paper, we present the results of expert interviews with six operations managers who described three AR use cases in emergency management and five requirements for an AR decision support system.