Interact with me: optimal human-humanoid physical interaction

与我互动：最佳的人机交互

• 批准号: 18F18754
• 负责人: 吉田 英一
• 金额: $ 1.41万
• 依托单位: National Institute of Advanced Industrial Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for JSPS Fellows
• 财政年份: 2018
• 资助国家: 日本
• 起止时间: 2018-11-09 至 2021-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18F18754/
• 关键词: ヒューマン・ロボット・インタラクション; 最適化; 人間動作解析

Unanticipated physical actions from the robot on humans (active pHRI, which stands for active physical human-robot interaction) may be inevitable with the deployment of robots in human-populated environments.However, it is still unclear how humans would perceive such actions and how the robot should execute them in a physically and psychologically safe manner.The objective of research in FY 2020 is to quantify the humans' physical and mental state during an active physical interaction with a robot, by means of a laboratory experiment.We hypothesize that the active robot actions could cause measurable alterations in users' data, which could be related to their perceptions and personalities. In the experiment, the user plays a visual game using the robot, which has a hidden task that results in active physical actions on the user. We collect data from physical and physiological sensors, and the perceptions and personalities via questionnaires and a semi-structured interview. Statistical analysis and clustering of the data collected from a total of 35 participants showed relationships between participants' physical and physiological data and their age, gender, perception, and personalities. The outcomes can be used to implement an active pHRI controller that can account for both the physical and the mental state of users.

机器人对人类的意外身体动作主动pHRI（主动pHRI，其代表主动物理人机交互）可能随着机器人在人类居住环境中的部署而不可避免。目前还不清楚人类如何感知这些动作，以及机器人如何以身体和心理安全的方式执行这些动作。2020财年的研究目标是量化人类的身体和心理安全。通过实验室实验，研究了在与机器人进行主动物理交互时的心理状态。我们假设，主动机器人动作可能会导致用户数据的可测量的变化，这可能与他们的感知和个性有关。在实验中，用户使用机器人玩视觉游戏，机器人有一个隐藏的任务，会对用户产生主动的物理动作。我们通过物理和生理传感器收集数据，并通过问卷调查和半结构化访谈收集感知和个性。对35名参与者收集的数据进行统计分析和聚类，显示了参与者的身体和生理数据与他们的年龄，性别，感知和个性之间的关系。结果可以用于实现可以考虑用户的身体和精神状态的主动pHRI控制器。

项目成果

Interact With Me: An Exploratory Study on Interaction Factors for Active Physical Human-Robot Interaction

• DOI: 10.1109/lra.2020.3017475
• 发表时间: 2020-10-01
• 期刊: IEEE ROBOTICS AND AUTOMATION LETTERS
• 影响因子: 5.2
• 作者: Hu, Yue;Benallegue, Mehdi;Yoshida, Eiichi
• 通讯作者: Yoshida, Eiichi

Interact with me: an exploratory study on active physical human-robot interaction

与我互动：主动物理人机交互的探索性研究

• 发表时间: 2019
• 作者: Hu Yue;Benallegue Mehdi;Venture Gentiane;Yoshida Eiichi;Hu Yue;Yue Hu
• 通讯作者: Yue Hu