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

Interact With Me: An Exploratory Study on Interaction Factors for Active Physical Human-Robot Interaction
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DOI:
10.1109/lra.2020.3017475
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发表时间:
2020-10-01
影响因子:
5.2
通讯作者:
Yoshida, Eiichi
Yoshida, Eiichi
中科院分区:
计算机科学2区
文献类型:
--
作者:
Hu, Yue;Benallegue, Mehdi;Yoshida, Eiichi

文献摘要

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在未来的机器人应用环境中,如养老院,建筑工地,私人住宅等,机器人可能需要根据用户的状态采取不可预测的物理动作,以克服可能的人为错误。在这封信中,将这些动作称为主动物理人机交互(主动pHRI),目标是通过探索和分析用户在主动pHRI期间的状态,来验证识别可用于未来主动pHRI控制器的可测量交互因素的可能性。我们假设,积极的物理机器人的行动可能会导致可测量的用户的物理和生理数据的变化,这些测量可以解释与用户的个性和看法。我们设计了一个实验,参与者使用机器人玩视觉益智游戏,在此期间,机器人采取意想不到的物理动作。我们收集的生理和物理数据,以及两个国家的最先进的问卷调查的结果,对机器人的看法,CH-33和一帆风顺的系列的调查表(GSQ),和实验前的个性问卷,收集的数据与用户的看法和个性。实验结果表明,我们可以提取一些因素与人格,知觉,生理和物理测量。尽管我们无法得出非常明确的相关性,但这些结果为新型pHRI实验的设计提供了基本见解。
In future robotic applications in environments such as nursing houses, construction sites, private homes, etc, robots might need to take unpredicted physical actions according to the state of the users to overcome possible human errors. Referring to these actions as active physical human-robot interactions (active pHRI), in this letter, the goal is to verify the possibility of identifying measurable interaction factors that could be used in future active pHRI controllers, by exploring and analyzing the state of the users during active pHRI. We hypothesize that active physical robot actions can cause measurable alterations in the physical and physiological data of the users, and that these measurements could be interpreted with users' personality and perceptions. We design an experiment where the participant uses the robot to play a visual puzzle game, during which, the robot takes unanticipated physical actions. We collect physiological and physical data, as well as outcomes of two state-of-the-art questionnaires on the perceptions of robots, CH-33 and Godspeed Series Questionnaires (GSQ), and a pre-experiment personality questionnaire, to relate the collected data with the users' perceptions and personality. The experiment outcomes show that we can extract a few factors related to personality, perception, physiological, and physical measurements. Even though we could not draw very clear correlations, these outcomes give fundamental insights for the design of novel pHRI experiments.