Large Language Models Enable Automated Formative Feedback in Human-Robot Interaction Tasks
<|reference_start|>Large Language Models Enable Automated Formative Feedback in Human-Robot Interaction Tasks: We claim that LLMs can be paired with formal analysis methods to provide accessible, relevant feedback for HRI tasks. While logic specifications are useful for defining and assessing a task, these representations are not easily interpreted by non-experts. Luckily, LLMs are adept at generating easy-to-understand text that explains difficult concepts. By integrating task assessment outcomes and other contextual information into an LLM prompt, we can effectively synthesize a useful set of recommendations for the learner to improve their performance.<|reference_end|>
@article{jensen2024large,
    title={Large Language Models Enable Automated Formative Feedback in Human-Robot
  Interaction Tasks},
    author={Emily Jensen, Sriram Sankaranarayanan, Bradley Hayes},
    journal={arXiv preprint arXiv:2405.16344},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.16344},
    primaryClass={cs.RO}
}