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Gary Charness, John A List, Aldo Rustichini, Anya Samek, Jeroen van de Ven

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Theory of Mind (ToM), the ability to correctly attribute mental states to others, is important in social interactions. We evaluate the development of ToM in about 800 mostly disadvantaged children. We next conduct a field experiment with about 160 children in which we find that the low ToM rates for these disadvantaged children improve substantially in environments where the presence of other children is made salient. We see that ToM performance increases for both younger and older children in the treatment with strong salience, but that the treatment with weaker salience seems to be only effective in improving the ToM rates for older children.

Gary Charness, Brian Jabarian, John A List

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We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding experiments, and producing documentation. Second, we discuss the implementation of experiments using LLMs, focusing on enhancing causal inference by creating consistent experiences, improving comprehension of instructions, and monitoring participant engagement in real time. Third, we highlight how LLMs can help analyze experimental data, including pre-processing, data cleaning, and other analytical tasks while helping reviewers and replicators investigate studies. Each of these tasks improves the probability of reporting accurate findings. Finally, we recommend a scientific governance blueprint that manages the potential risks of using LLMs for experimental research while promoting their benefits. This could pave the way for open science opportunities and foster a culture of policy and industry experimentation at scale.