Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0

被引:144
作者
Coronado, Enrique [1 ,2 ]
Kiyokawa, Takuya [3 ,4 ]
Ricardez, Gustavo A. Garcia [4 ,5 ]
Ramirez-Alpizar, Ixchel G. [2 ]
Venture, Gentiane [1 ,2 ]
Yamanobe, Natsuki [1 ,2 ]
机构
[1] Tokyo Univ Agr & Technol, Dept Mech Syst Engn, Tokyo, Japan
[2] Natl Inst Adv Ind Sci & Technol, Tokyo, Japan
[3] Osaka Univ, Grad Sch Engn Sci, Dept Syst Innovat, Osaka, Japan
[4] Nara Inst Sci & Technol NAIST, Grad Sch Sci & Technol, Div Informat Sci, Nara, Japan
[5] Ritsumeikan Univ, Shiga, Japan
关键词
Human-robot interaction; Human-robot collaboration; Metrics; Robotics; Industry; 5.0; Society 5.0 2010 MSC: 00-01; 9900; TECHNOLOGY ACCEPTANCE MODEL; SITUATION AWARENESS; SAFETY ASSESSMENT; USER ACCEPTANCE; TRUST; COLLABORATION; FRAMEWORK; QUESTIONNAIRE; INTELLIGENCE; RELIABILITY;
D O I
10.1016/j.jmsy.2022.04.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industry 5.0 constitutes a change of paradigm where the increase of economic benefits caused by a never-ending increment of production is no longer the only priority. Instead, Industry 5.0 addresses social and planetary challenges caused or neglected in Industry 4.0 and below. One relevant the most relevant challenges of Industry 5.0 is the design of human-centered smart environments (i.e., that prioritize human well-being while maintaining production performance). In these environments, robots and humans will share the same space and collaborate to reach common objectives. This article presents a literature review of the different aspects concerning the problem of quality measurement in Human-Robot Interaction (HRI) applications for manufacturing environments. To help practitioners and new researchers in the area, this article presents an overview of factors, metrics, and measures used in the robotics community to evaluate performance and human well-being quality aspects in HRI applications. For this, we performed a systematic search in relevant databases for robotics (Science Direct, IEEE Xplore, ACM digital library, and Springer Link). We summarize and classify results extracted from 102 peer reviewed research articles published until March 2022 in two definition models: 1) a taxonomy of performance aspects and 2) a Venn Diagram of common human factors in HRI. Additionally, we briefly explain the differences between often confusing or overlapped concepts in the area. We also introduce common human factors evaluated by the robotics community and identify seven emergent research topics which can have a relevant impact on Industry 5.0.
引用
收藏
页码:392 / 410
页数:19
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