构建人类对机器人故障与解释反应的多模态数据集，助力更智能的人机协作。
REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations
- 采集人类在协作中对机器人故障及解释的多模态反应数据
- 涵盖不同故障类型、解释层级与策略下的真实人类反馈
- 适合研究人机交互、可解释性机器人与长期协作系统
本文提出REFLEX：机器人故障与人类反应多模态数据集，用于捕捉协作场景中人类对机器人故障及后续解释的反应。该数据集旨在推动人机交互研究，关注初始故障反应、解释效果及其在长期互动中的演变。通过提供丰富标注数据，涵盖不同类型故障、解释层次及策略下的人类反应，支持开发更具鲁棒性、自适应性和用户满意度的机器人系统，使其在重复故障等挑战情境下仍能维持良好人机关系。
原文摘要 · Abstract (English)
This work presents REFLEX: Robotic Explanations to FaiLures and Human EXpressions, a comprehensive multimodal dataset capturing human reactions to robot failures and subsequent explanations in collaborative settings. It aims to facilitate research into human-robot interaction dynamics, addressing the need to study reactions to both initial failures and explanations, as well as the evolution of these reactions in long-term interactions. By providing rich, annotated data on human responses to different types of failures, explanation levels, and explanation varying strategies, the dataset contributes to the development of more robust, adaptive, and satisfying robotic systems capable of maintaining positive relationships with human collaborators, even during challenges like repeated failures.
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