论文标题
信任语言基础：针对人类机器人团队的新AI挑战
Trust in Language Grounding: a new AI challenge for human-robot teams
论文作者
论文摘要
语言基础的挑战是通过在现实世界中的引用中充分理解自然语言。尽管可以使用AI技术，但此类技术对人类机器人团队的广泛采用和有效性依赖于用户信任。这项调查提供了有关语言基础的新兴信任领域的三项贡献，包括a）根据AI技术，数据集和用户界面的语言基础研究概述； b）与语言基础有关的六个假设信任因素，这些因素在人机清洁团队经验进行了经验测试； c）对语言基础的信任的未来研究指示。
The challenge of language grounding is to fully understand natural language by grounding language in real-world referents. While AI techniques are available, the widespread adoption and effectiveness of such technologies for human-robot teams relies critically on user trust. This survey provides three contributions relating to the newly emerging field of trust in language grounding, including a) an overview of language grounding research in terms of AI technologies, data sets, and user interfaces; b) six hypothesised trust factors relevant to language grounding, which are tested empirically on a human-robot cleaning team; and c) future research directions for trust in language grounding.
