Specific aims of this proposal are threefold: (1) develop a framework for human-systems integration requirements, (2) identify and develop a metrics criteria in which safety and efficiency can be characterized in human-automation teams, and (3) design, develop, and validate a theoretically-driven, empirically-based metrics toolkit that characterizes the safety and efficiency of human automation interactions. This proposal meets NASA goals and objectives by mitigating the risk of inadequate design of human and automation/robotic integration through the development of safety and efficiency metrics for human-automation systems. The proposal is divided into three primary phases. Phase 1 will consist of synthesizing and translating findings from the extant literature relevant to human automation/robotic integration. The result of this effort will be the development of objective metrics generalizable to individual and team levels that characterize the safety and efficiency of a human automation interaction. The final outcome of Phase 1 will be the development of a human automation interaction metrics (HAIM) toolkit. Phase 2 focused on preparation and execution of subject matter experts (SME) interviews, which will be used to inform the design of the toolkit and selection of metrics. The central outcome of Phase 2 will be the completion of a whitepaper presenting the results of the SME interviews and the implications of these results to the design of the metrics toolkit. Phase 3 will focus on final validation of the metrics toolkit through usability testing using a relevant user group. This will include the design and execution of a set of usability studies aimed at validating the metrics toolkit. The validation studies will focus on testing users progression through the toolkit using a variety of different selection scenarios. The outcome of the proposed effort will provide NASA a set of evidence-based, empirically-validated measurement toolkit containing measures and measuring guidelines for mitigating the risk of inadequate design of human and automation/robotic integration as it pertains to the development of safety and efficiency metrics for human automation systems.