This paper describes the utilization of an extended case methodology to reveal foundational lessons and best practices from real world perspectives about how cultural, organizational, and automation factors influence human-automation trust development. The Air Force Automatic Ground Collision Avoidance System (Auto-GCAS) was used as the context for this case study. The study employs an eclectic set of qualitative and quantitative methodologies including a literature review for secondary data on the history of Auto-GCAS, field observations, surveys, and interviews for primary data. This paper also discusses how our methodologies and methods were adapted to the limited access, and uniqueness of, the participant groups while taking advantage of emerging opportunities. We also discuss lessons learned about the required qualities of the research team, particularly those related to cultural and technical competence, political sensitivity, and trust relationship with participants.

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