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Human automation interaction is a complex process. How autonomous assistance impacts trust in automation as well as how trust affects human calibration and use of automation has been investigated for both dynamic contexts, including the internal variables (e.g., cultural characteristics) and external factors (e.g., system settings). Having standardized measures to capture trust and its antecedents is particularly critical to understanding how factors associated with the human operators and autonomous applications affects the way they are used. This paper reports the development of a trust instrument and several rounds of cross-country validation, including U.S., German, Taiwanese, and Turkish populations. The results confirm that the instrument which was developed reliably measured human trust in automation across cultures.