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Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
We find that GPT-4 strongly outperforms other models, generating answers that correlate strongly with users' answers in two studies $\unicode{x2014}$ the first study dealing with selecting the most appropriate communicative act for a robot in various situations ($r_s$ = 0. 82), and the second with judging the desirability, intentionality, and surprisingness of behavior ($r_s$ = 0. 83).
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans
Our method can generate natural language descriptions of plans including causal explanations.
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