Emotional Experience in Human–Robot Collaboration: Suitability of Virtual Reality Scenarios to Study Interactions beyond Safety Restrictions

IF 2.9 Q2 ROBOTICS Robotics Pub Date : 2023-12-08 DOI:10.3390/robotics12060168
Franziska Legler, Jonas Trezl, Dorothea Langer, Max Bernhagen, A. Dettmann, A. Bullinger
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Abstract

Today’s research on fenceless human–robot collaboration (HRC) is challenged by a relatively slow development of safety features. Simultaneously, design recommendations for HRC are requested by the industry. To simulate HRC scenarios in advance, virtual reality (VR) technology can be utilized and ensure safety. VR also allows researchers to study the effects of safety-restricted features like close distance during movements and events of robotic malfunctions. In this paper, we present a VR experiment with 40 participants collaborating with a heavy-load robot and compare the results to a similar real-world experiment to study transferability and validity. The participant’s proximity to the robot, interaction level, and occurring system failures were varied. State anxiety, trust, and intention to use were used as dependent variables, and valence and arousal values were assessed over time. Overall, state anxiety was low and trust and intention to use were high. Only simulated failures significantly increased state anxiety, reduced trust, and resulted in reduced valence and increased arousal. In comparison with the real-world experiment, non-significant differences in all dependent variables and similar progression of valence and arousal were found during scenarios without system failures. Therefore, the suitability of applying VR in HRC research to study safety-restricted features can be supported; however, further research should examine transferability for high-intensity emotional experiences.
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人机协作中的情感体验:虚拟现实场景对研究超越安全限制的交互作用的适用性
目前对无围栏人机协作(HRC)的研究受到安全特性发展相对缓慢的挑战。同时,HRC的设计建议也被业界所要求。为了提前模拟HRC场景,可以利用虚拟现实(VR)技术,确保安全。VR还允许研究人员研究安全限制功能的影响,比如移动时的近距离和机器人故障事件。在本文中,我们提出了一个VR实验,40名参与者与一个重载机器人合作,并将结果与类似的现实世界实验进行比较,以研究可转移性和有效性。参与者与机器人的接近程度、交互水平和发生的系统故障各不相同。状态焦虑、信任和使用意图被用作因变量,并随时间评估效价和唤醒值。总体而言,状态焦虑较低,信任和使用意图较高。只有模拟失败才能显著增加状态焦虑,减少信任,并导致效价降低和唤醒增加。与真实世界的实验相比,在没有系统故障的情况下,所有因变量和相似的效价和觉醒过程都没有显著差异。因此,可以支持在HRC研究中应用VR来研究安全受限特征的适用性;然而,进一步的研究应该检查高强度情绪体验的可转移性。
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来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
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