机器人远程操作任务中压力和工作量对人类表现的影响

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Yi Ting Sam;Erin Hedlund-Botti;Manisha Natarajan;Jamison Heard;Matthew Gombolay
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引用次数: 0

摘要

机器人远程操作技术的进步为太空探索、医疗保健和灾难救援等许多领域带来了突破性创新。人类操作员的表现对任何远程操作任务的成功都起着关键作用,先前的证据表明,操作员的压力和工作量会影响任务表现。由于机器人远程操作目前部署在安全关键领域,因此分析不同压力和工作量水平对操作员的影响至关重要。我们还没有发现任何研究压力和工作量如何影响远程操作性能的前期工作。我们进行了一项新颖的研究($n=24$),联合操纵用户的压力和工作量,并通过客观和主观测量来分析用户的表现。我们的结果表明,随着压力的增加,超过 70% 的参与者在中等压力水平下表现较好;然而,随着工作量的增加,大多数参与者的表现较差。重要的是,我们的实验设计阐明了压力和工作量对任务表现具有相关但又不同的影响,工作量对压力对表现的影响具有中介作用($p< .05$)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks
Advances in robot teleoperation have enabled groundbreaking innovations in many fields, such as space exploration, healthcare, and disaster relief. The human operator's performance plays a key role in the success of any teleoperation task, with prior evidence suggesting that operator stress and workload can impact task performance. As robot teleoperation is currently deployed in safety-critical domains, it is essential to analyze how different stress and workload levels impact the operator. We are unaware of any prior work investigating how both stress and workload impact teleoperation performance. We conducted a novel study ( $n=24$ ) to jointly manipulate users' stress and workload and analyze the user's performance through objective and subjective measures. Our results indicate that, as stress increased, over 70% of our participants performed better up to a moderate level of stress; yet, the majority of participants performed worse as the workload increased. Importantly, our experimental design elucidated that stress and workload have related yet distinct impacts on task performance, with workload mediating the effects of distress on performance ( $p< .05$ ).
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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