Toward human-centered intelligent assistance system in manufacturing: challenges and potentials for operator 5.0

被引:9
作者
Bechinie, Christian [1 ]
Zafari, Setareh [1 ]
Kroeninger, Lukas [1 ]
Puthenkalam, Jaison [1 ]
Tscheligi, Manfred [1 ,2 ]
机构
[1] Austrian Inst Technol, Giefinggasse 4, A-1210 Vienna, Austria
[2] Salzburg Univ, Jakob Haringer Str 8, A-5020 Salzburg, Austria
来源
5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023 | 2024年 / 232卷
关键词
human-centered design; smart manufacturing; assistance system; Industry; 5.0; DESIGN;
D O I
10.1016/j.procs.2024.01.156
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The human-centered view emphasizes various aspects including usability, acceptance, and understandability, as they emerge in the interaction between humans and intelligent systems. For intelligent assistance systems to provide long- term added value in working environments, it is of major importance to develop a positive user experience. However, a positive user experience does not appear by itself but must be systematically investigated and designed. In this paper, we focus on the role of operator 5.0 in manufacturing and provide an overview of the main challenges and potentials related to working with intelligent systems. Drawing upon state-of-the-art literature and findings from industry (context and expert interviews and user experience workshops), this paper investigates the main discontinuous production processes (i.e., process monitoring, process optimization, process maintenance) that will undergo a series of changes due to integration of cutting-edge technologies (such as Digital Twins, Extended Reality, and Artificial Intelligence). It then identifies requirements and discusses key challenges for the realization of human-centered assistance systems. By highlighting underexplored research questions and potential improvements in industrial settings, this paper provides researchers and practitioners to establish a holistic understanding of the user experience along the industry 5.0 journey (c) 2023 The Authors. Published by ELSEVIER B.V.
引用
收藏
页码:1584 / 1596
页数:13
相关论文
共 54 条
[1]   Digitalization in Manufacturing - Employees, Do You Want to Work There? [J].
Adam, Caroline ;
Aringer-Walch, Carmen ;
Bengler, Klaus .
PROCEEDINGS OF THE 20TH CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION (IEA 2018), VOL 8: ERGONOMICS AND HUMAN FACTORS IN MANUFACTURING, AGRICULTURE, BUILDING AND CONSTRUCTION, SUSTAINABLE DEVELOPMENT AND MINING, 2019, 825 :267-275
[2]   From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where [J].
Ahmed, Imran ;
Jeon, Gwanggil ;
Piccialli, Francesco .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (08) :5031-5042
[3]  
Alves Joel, 2022, THEOR ISS ERGON SCI, P1
[4]  
[Anonymous], 2008, ISO 9241-210
[5]  
Apraiz Ainhoa, 2023, INT J SOC ROBOT, P1
[6]  
Beez U., 2018, SEMANTIC APPL METHOD, V23, P163
[7]  
Breque Maija, 2021, IND 5 0 SUSTAIABLE H
[8]  
Cattaneo Laura, 2017, PRODUCT LIFECYCLE MA
[9]   Perceived negative impact of caregiving demands in parents of individuals with autism spectrum disorders from 9 to 25 years of age [J].
Christopher, Kourtney ;
Tafolla, Maira ;
Sterrett, Kyle ;
Elias, Rebecca ;
Lord, Catherine .
RESEARCH IN AUTISM SPECTRUM DISORDERS, 2023, 106
[10]   Designing human-machine interaction concepts for machine tool controls regarding ergonomic requirements [J].
Czerniak, Julia N. ;
Brandl, Christopher ;
Mertens, Alexander .
IFAC PAPERSONLINE, 2017, 50 (01) :1378-1383