Towards Modeling Real-Time Trust in Asymmetric Human-Robot Collaborations
Towards Modeling Real-Time Trust in Asymmetric Human-Robot Collaborations
复制标题
建立非对称人机协作中的实时信任模型
DOI：
10.1007/978-3-319-28872-7_7
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
G. Dudek
中科院分区：
文献类型：
--
作者：
Anqi Xu;G. Dudek
我们对提高人机协作的效率感兴趣，特别是在“管理员-工人”设置中，自主机器人在人类操作员的监督下工作。我们相信，信任在这些团队内部的交互建模以及提高效率方面发挥着至关重要的作用。我们提出了一个操作制定的人与机器人的信任在很短的互动时间尺度，这是专为一个实际的远程机器人设置。我们还报告了一个受控的用户研究，收集互动数据的参与者与自主机器人进行视觉导航任务。我们的分析量化了实时人机信任评估与各种因素之间的关键相关性，包括反映因果信任归因的失败事件属性，以及每个用户个性的强烈影响。我们进一步构建和优化的预测模型，用户的信任响应离散事件，这提供了这方面的实时人机交互的见解，也具有现实意义的设计信任感知机器人代理。
We are interested in enhancing the efficiency of human–robot collaborations, especially in “supervisor-worker” settings where autonomous robots work under the supervision of a human operator. We believe that trust serves a critical role in modeling the interactions within these teams, and also in streamlining their efficiency. We propose an operational formulation of human–robot trust on a short interaction time scale, which is tailored to a practical tele-robotics setting. We also report on a controlled user study that collected interaction data from participants collaborating with an autonomous robot to perform visual navigation tasks. Our analyses quantify key correlations between real-time human–robot trust assessments and diverse factors, including properties of failure events reflecting causal trust attribution, as well as strong influences from each user’s personality. We further construct and optimize a predictive model of users’ trust responses to discrete events, which provides both insights on this fundamental aspect of real-time human–machine interaction, and also has pragmatic significance for designing trust-aware robot agents.