Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations

This paper introduces a new paradigm for interactively evaluating Theory of Mind (ToM) improvements in Large Language Models (LLMs) for human-AI interactions. Empirical findings from real-world datasets and a user study reveal that ToM enhancements on static benchmarks do not always translate to benefits in dynamic human-AI interactions.