Empirical Requirements Analysis for Mars Surface Operations Using the Flashline Mars Arctic Research Station

1 The authors have dual affiliations: Clancey: Institute for Human-Machine Cognition, University of West Florida, Pensacola, FL. Lee: SETI, Mountain View, CA. Sierhuis: RIACS, Moffett Field. Abstract Living and working on Mars will require model-based computer systems for maintaining and controlling complex life support, communication, transportation, and power systems. This technology must work properly on the first three-year mission, augmenting human autonomy, without adding yet more complexity to be diagnosed and repaired. One design method is to work with scientists in analog (Mars-like) settings to understand how they prefer to work, what constraints will be imposed by the Mars environment, and how to ameliorate difficulties. We describe how we are using empirical requirements analysis to prototype modelbased tools at a research station in the High Canadian Arctic.