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This work explores the theoretical foundations of trust which provide the framework for the development of our model of human-robot team trust. The pragmatic purpose for this model is to provide a greater understanding of the factors that facilitate the development of human operator trust in robotic teammates. We predicate the model’s structure with our findings from a quantitative meta-analysis that we have completed. Our approach categorizes the dimensions influencing trust in human-robot interaction. To date, we have explored human, robot and environmental-based factors. Our road map for model development and refinement is here outlined.

Two groups of first, third, and fifth grade children were interviewed about their mental models of computers. The first group was interviewed in 1999, and the second in 2009. In both data sets, children as young as 6 years of age generated well developed analogies for computers. However, the 2009 data showed that children are increasingly able to generate these analogies at a younger age. Further, the types of analogies generated differed as a function of time, with those interviewed in 1999 more likely to describe perceptual qualities of computers (e.g., it is square), and those interviewed in 2009 relating computers to both cell phones and entertainment devices. Children's knowledge of technology provides a glimpse into the future user's mindset.

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