Enhancing Human-Machine Interactions: A Novel Framework for AR-Based Digital Twin Systems in Industrial Environments

被引:2
|
作者
Grego, Giovanni [1 ]
Nenna, Federica [1 ]
Gamberini, Luciano [1 ]
机构
[1] Univ Padua, Dept Gen Psychol, Padua, Italy
关键词
Human-Computer Interaction; Digital Twin; Extended Reality; Manufacturing; Pervasive Devices; Robotics;
D O I
10.1145/3652037.3663946
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Industry 5.0 represents a paradigm shift initiated by the European Commission, which emphasizes human-centricity, sustainability, and resilience in industrial settings. This novel paradigm underscores the importance of giving a central role to humans in every process entailed in the implementation of advanced technologies into work and industrial scenarios. By following this view, in this work, we present a novel human-centric framework integrating Digital Twins (DTs) and Augmented Reality (AR) within a manufacturing setting, focusing on a design and evaluation process that facilitates seamless interaction between humans and machines. This work contributes to the ongoing discourse on Industry 5.0 by offering a twofold yet integrated perspective on humans and novel industrial technologies, providing insights into the transformative potential of integrating AR and DT technologies within industrial settings. From a technical perspective, the framework's hardware and software specifications, design principles, and technical implementation are elucidated, followed by an evaluation of its responsiveness and spatial accuracy. Results demonstrate the framework's efficacy in providing real-time monitoring and control of robotic systems. Parallely, the potential impacts of our AR-based digital twin systems on human labor and work routines are discussed, providing a more human-based perspective to complement the technical one.
引用
收藏
页码:456 / 462
页数:7
相关论文
共 20 条
  • [1] Holistic Digital Twin Framework: Designing Human-Machine Systems with an Overall Situation Awareness
    Ascone, Corentin
    Vanderhaegen, Frederic
    IFAC PAPERSONLINE, 2023, 56 (02): : 7065 - 7070
  • [2] Towards a Holistic Framework for Digital Twins of Human-Machine Systems
    Ascone, Corentin
    Vanderhaegen, Frederic
    IFAC PAPERSONLINE, 2022, 55 (29): : 67 - 72
  • [3] Control architecture for digital twin-based human-machine interaction in a novel container unloading system
    Petzoldt, Christoph
    Wilhelm, Jasper
    Hoppe, Nils Hendrik
    Rolfs, Lennart
    Beinke, Thies
    Freitag, Michael
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE (SYSINT 2020): SYSTEM-INTEGRATED INTELLIGENCE - INTELLIGENT, FLEXIBLE AND CONNECTED SYSTEMS IN PRODUCTS AND PRODUCTION, 2020, 52 : 215 - 220
  • [4] TCuPGAN: A Novel Framework Developed for Optimizing Human-Machine Interactions in Citizen Science
    Sankar, Ramanakumar
    Mantha, Kameswara
    Fortson, Lucy
    Spiers, Helen
    Pengo, Thomas
    Mashek, Douglas
    Mo, Myat
    Sanders, Mark
    Christensen, Trace
    Salisbury, Jeffrey
    Trouille, Laura
    MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II, 2025, 2134 : 310 - 315
  • [5] Industrial safety control system and key technologies of digital twin system oriented to human-machine interaction
    Li H.
    Liu G.
    Wen X.
    Wang H.
    Zhang Y.
    Li K.
    Ma W.
    Sun C.
    Luo G.
    Huang R.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (02): : 374 - 389
  • [6] Robust Control for a Human-Machine Interface Based on a Joystick System and its Digital Twin
    Garcia-Leal, Roderico
    Afiorve, Luis
    Cruz-Ortiz, David
    Huegel, Joel C.
    Ballesteros, Mariana
    2023 11TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION, ICCMA, 2023, : 433 - 438
  • [7] Digital Twin Learning Ecosystem: A cyber-physical framework to integrate human-machine knowledge in traditional manufacturing
    Garcia, Alvaro
    Bregon, Anibal
    Martinez-Prieto, MiguelA.
    INTERNET OF THINGS, 2024, 25
  • [8] A Novel Vision-based Human-Machine Interface for a Robotic Walker Framework
    Paulo, Joao
    Peixoto, Paulo
    Nunes, Urbano
    2015 24TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2015, : 134 - 139
  • [9] Review of Digital Twin-based Interaction in Smart Manufacturing: Enabling Cyber-Physical Systems for Human-Machine Interaction
    Wilhelm, Jasper
    Petzoldt, Christoph
    Beinke, Thies
    Freitag, Michael
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2021, 34 (10) : 1031 - 1048
  • [10] Guidelines for Development and Evaluation of Usage Data Analytics Tools for Human-Machine Interactions with Industrial Manufacturing Systems
    Varsaluoma, Jari
    Vaataja, Heli
    Heimonen, Tomi
    Tiitinen, Katariina
    Hakulinen, Jaakko
    Turunen, Markku
    Nieminen, Harri
    MINDTREK'18: PROCEEDINGS OF THE 22ND INTERNATIONAL ACADEMIC MINDTREK CONFERENCE, 2018, : 172 - 181