Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks
Trust or Not?: A Computational Robot-Trusting-Human Model for Human-Robot Collaborative Tasks
复制标题
信任与否？：用于人机协作任务的计算机器人信任人类模型
DOI：
10.1109/bigdata50022.2020.9378119
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Weitian Wang
中科院分区：
文献类型：
--
作者：
Corey Hannum;Rui Li;Weitian Wang
机器人对其人类伙伴的信任是人机交互中的一个重要问题，在机器人领域很少被研究。本研究基于人的动作数据、人-机器人对过去的交互数据以及人在共同携带任务中的当前表现，解决了人机协作过程中机器人对人类信任的关键问题。在整个协作任务中动态评估信任水平，允许信任水平在人类执行误报动作时发生变化，这可以帮助机器人避免做出不可预测的动作并对人类造成伤害。实验结果表明，通过提出的计算信任模型，机器人能够有效地协助人类完成协作任务。
The trust of a robot in its human partner is a significant issue in human-robot interaction, which is seldom explored in the field of robotics. This study addresses a critical issue of robots’ trust in humans during the human-robot collaboration process based on the data of human motions, past interactions of the human-robot pair, and the human’s current performance in the co-carry task. The trust level is evaluated dynamically throughout the collaborative task that allows the trust level to change if the human performs false positive actions, which can help the robot avoid making unpredictable movements and causing injury to the human. Experimental results showed that the robot effectively assisted the human in collaborative tasks through the proposed computational trust model.
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DOI：
10.1007/978-1-4939-7647-8_1
发表时间：
2018
期刊：
Neuromethods
影响因子：
--
作者：
Joshi,AnandA
通讯作者：
Joshi,AnandA