This case study analyzes the factors that influence trust and acceptance among users (in this case, test pilots) of the Air Force’s Automatic Ground Collision Avoidance System. Our analyses revealed that test pilots’ trust depended on a number of factors, including the development of a nuisance-free algorithm, designing fly-up evasive maneuvers consistent with a pilot’s preferred behavior, and using training to assess, demonstrate, and verify the system’s reliability. These factors are consistent with the literature on trust in automation and could lead to best practices for automation design, testing, and acceptance.

My participant-observation with O-Môi, a support group for Vietnamese lesbians, bisexual women and female-to-male transgenders, and interviews with members, focusing on how different identity issues are negotiated, suggest that despite O-Môi's claim of supporting its members' multiple marginalized identities, group processes in everyday pragmatic interactions construct a hierarchy that centers and normalizes experiences of bilingual Vietnamese lesbians. This renders the marginalization of bisexual women, transgender men, and Vietnamese/English monolingual members. Using the concept of "identity work" to examine the intersection of race/ethnicity, class, and gender/sexuality as everyday (counter)hegemonic processes, I discuss how organizational structure, discourse resources, and personal politics orient and mold members' talk and interactions leading to normalization and/or marginalization of certain groups' experiences.

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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.