Evaluation of Biomechanical and Mental Workload During Human-Robot Collaborative Pollination Task.

IF 2.9 3区 心理学 Q1 BEHAVIORAL SCIENCES
Mustafa Ozkan Yerebakan, Yu Gu, Jason Gross, Boyi Hu
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引用次数: 0

Abstract

Objective: The purpose of this study is to identify the potential biomechanical and cognitive workload effects induced by human robot collaborative pollination task, how additional cues and reliability of the robot influence these effects and whether interacting with the robot influences the participant's anxiety and attitude towards robots.

Background: Human-Robot Collaboration (HRC) could be used to alleviate pollinator shortages and robot performance issues. However, the effects of HRC for this setting have not been investigated.

Methods: Sixteen participants were recruited. Four HRC modes, no cue, with cue, unreliable, and manual control were included. Three categories of dependent variables were measured: (1) spine kinematics (L5/S1, L1/T12, and T1/C7), (2) pupillary activation data, and (3) subjective measures such as perceived workload, robot-related anxiety, and negative attitudes towards robotics.

Results: HRC reduced anxiety towards the cobot, decreased joint angles and angular velocity for the L5/S1 and L1/T12 joints, and reduced pupil dilation, with the "with cue" mode producing the lowest values. However, unreliability was detrimental to these gains. In addition, HRC resulted in a higher flexion angle for the neck (i.e., T1/C7).

Conclusion: HRC reduced the physical and mental workload during the simulated pollination task. Benefits of the additional cue were minimal compared to no cues. The increased joint angle in the neck and unreliability affecting lower and mid back joint angles and workload requires further investigation.

Application: These findings could be used to inform design decisions for HRC frameworks for agricultural applications that are cognizant of the different effects induced by HRC.

评估人机协作授粉任务中的生物力学和脑力劳动负荷
研究目的本研究旨在确定人机协作授粉任务可能引起的生物力学和认知工作量效应,机器人的额外提示和可靠性如何影响这些效应,以及与机器人互动是否会影响参与者的焦虑和对机器人的态度:背景:人机协作(HRC)可用于缓解授粉员短缺和机器人性能问题。背景:人机协作可用于缓解授粉员短缺和机器人性能问题,但人机协作在这种情况下的效果尚未得到研究:招募了 16 名参与者。包括四种 HRC 模式:无提示、有提示、不可靠和手动控制。测量了三类因变量:(1)脊柱运动学(L5/S1、L1/T12 和 T1/C7);(2)瞳孔激活数据;(3)主观测量,如感知工作量、与机器人相关的焦虑以及对机器人的负面态度:HRC降低了对机器人的焦虑,减少了L5/S1和L1/T12关节的关节角度和角速度,并减少了瞳孔放大,其中 "有提示 "模式产生的数值最低。然而,不可靠因素影响了这些收益。此外,HRC 导致颈部(即 T1/C7)的弯曲角度增大:HRC减少了模拟授粉任务中的体力和脑力工作量。与无提示相比,附加提示的益处微乎其微。颈部关节角度的增加以及影响中下背部关节角度和工作量的不可靠因素需要进一步研究:这些研究结果可用于为农业应用中的热轧卷框架设计决策提供信息,使其认识到热轧卷引起的不同影响。
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来源期刊
Human Factors
Human Factors 管理科学-行为科学
CiteScore
10.60
自引率
6.10%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
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