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English(EN) What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics

机器人数据集揭示了可解释人工智能的用户问题

研究人员开发了一个包含 1,893 个用户问题的新数据集,专门用于可解释机器人学。该数据集收集自 100 名参与者,将问题分为 12 类,重点关注用户对机器人能力和任务执行细节的期望。研究结果表明,虽然用户经常询问基本任务信息,但他们认为有关假设场景和确保正确行为的问题最为重要。该资源旨在帮助开发更好的人机交互问答模块和解释策略。 AI

影响 为开发更直观、信息更丰富的人机交互系统提供了基准。

排序理由 这是一篇详细介绍可解释机器人学新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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机器人数据集揭示了可解释人工智能的用户问题

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这是一篇详细介绍可解释机器人学新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Lennart Wachowiak, Andrew Coles, Gerard Canal, Oya Celiktutan ·

    机器人应该能够回答哪些问题?一个用于可解释机器人学的用户问题数据集

    arXiv:2510.16435v2 Announce Type: replace-cross Abstract: With the growing use of large language models and conversational interfaces in human-robot interaction, robots' ability to answer user questions is more important than ever. We therefore introduce a dataset of 1,893 user q…