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Trust has become increasingly important because of the increasing need for synergistic human-machine teaming. Here, we expand on our previous meta-analytic work in the field of human-robot interaction (HRI) to include all of human-automation interaction. We used meta-analytic procedures to assess trust. A total of 343 articles were reviewed, of which 30 studies, providing 164 effect sizes, and 16 studies, providing 63 correlational effect sizes, met the selection criteria for analysis. The overall experimental effect on trust was 𝑔 =+ 0.48, and the correlational effect was 𝑟̅=+ 0.34, each of which represented a medium to strong effect. Moderator effects were examined for the human-related (𝑔 =+ 0.49; 𝑟̅=+ 0.16) and automation-related (𝑔̅=+ 0.53; 𝑟̅=+ 0.41) factors. However, moderator effects specific to the environmental factors were not calculated because of a lack of presently qualified studies. Submoderating factors were examined and reported for human-related (ie, age, cognitive factors, emotive factors) and automationrelated (ie, features and capabilities) effects. Analyses were also conducted for type of automated aid: cognitive, control, and perceptual automation aids. Automated cognitive aids provide recommendations to users about the current and potential future states of systems. Automated control aids replace varying levels of human (operator, user) action. Perceptual aids are used to assist the operator or user by providing warnings or to assist with pattern recognition. All three types of aids—cognitive (𝑔̅=+ 0.41; 𝑟̅=+ 0.39), control (𝑔̅=+ 0.51; 𝑟̅=+ 0.12), and perceptual (𝑔̅=+ 0.62; 𝑟̅=+ 0.37)—had a moderate effect on …