A focus on quantitative methods to assess human factors in collaborative robotics

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Alessia de Nobile , Daniele Bibbo , Marta Russo , Silvia Conforto
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Abstract

The advent of Industry 4.0 has transformed manufacturing by incorporating industrial robots to boost productivity and quality while cutting costs. Human-Robot Collaboration (HRC) is central to this shift, emphasizing seamless cooperation between humans and robots in shared workspaces. Evaluating the impact of such collaboration on human operators is crucial for efficiency, safety, and well-being. This systematic review explores methodologies for assessing human factors in HRC environments, spanning psychological, cognitive, and physical realms. Various evaluation methods have been identified, from subjective questionnaires to objective measurements. While subjective methods are the standard (especially questionnaires), there is a growing trend towards integrating physiological and physical measurements. The blend of subjective and objective methods offers a holistic understanding of human-robot interaction. This review adopts a more technical-oriented approach in the assessment of human factors in HRC. As a result, it consolidates existing methodologies and suggests avenues for further research, highlighting the significance of this assessment for enhancing productivity, safety, and well-being in industrial settings.
以定量方法为重点,评估协作机器人技术中的人为因素
工业 4.0 的出现改变了制造业,它通过采用工业机器人来提高生产率和质量,同时降低成本。人机协作(HRC)是这一转变的核心,它强调人与机器人在共享工作空间中的无缝合作。评估这种协作对人类操作员的影响对于效率、安全和福祉至关重要。本系统综述探讨了评估人机协作环境中人为因素的方法,涵盖心理、认知和物理领域。从主观问卷到客观测量,各种评估方法均已确定。虽然主观方法是标准方法(尤其是问卷调查),但将生理和物理测量结合起来的趋势也在不断增长。主观方法和客观方法的结合有助于全面了解人机交互。本综述在评估人机交互中的人为因素时,采用了更注重技术的方法。因此,它整合了现有的方法,并提出了进一步研究的途径,强调了这一评估对提高工业环境中的生产率、安全性和幸福感的重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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