Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design

Hoffmann, Sven; Carvalho, Aparecido Fabiano Pinatti de; Abele, Darwin; Schweitzer, Marcus; Tolmie, Peter; Wulf, Volker

doi:10.1007/s10606-019-09355-y

Cited by 26 publications

(18 citation statements)

References 75 publications

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“…Beyond industrial applications, the user-friendly design of HMI is important in various domains—desktop, web engineering, and services—with which its application boundary is very blurred (Chang & Lee, 2013 ; Chang et al, 2017 ; Hoffmann et al, 2019 ). Basically, one of the key measurements to understand the degree to which the design of HMI meets usage requirements is its usability, which focuses on functional indicators: usefulness, efficiency, effectiveness, and the learning curve of the user interface.…”

Section: Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.

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Section: Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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“…We inform the design of Ziva both by prior work on involving domain experts in data science projects and model development, and a preliminary interview study to understand how data scientists learn from domain experts. Meanwhile, studies have warned that knowledge sharing and repository tools often fail in practice [33,82,88], if the design fails to take into account the social dynamics, including what benefits and demands these technologies bring for both the knowledge providers and the knowledge consumers [5,31]. Thereby we evaluate Ziva by involving both the knowledge consumers-data scientists, and the knowledge providers-domain experts.…”

Section: Technologies For Knowledge Sharingmentioning

confidence: 99%

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

Park

Wang

Kawas³

et al. 2021

26th International Conference on Intelligent User Interfaces

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Data scientists face a steep learning curve in understanding a new domain for which they want to build machine learning (ML) models. While input from domain experts could offer valuable help, such input is often limited, expensive, and generally not in a form readily consumable by a model development pipeline. In this paper, we propose Ziva, a framework to guide domain experts in sharing essential domain knowledge to data scientists for building NLP models. With Ziva, experts are able to distill and share their domain knowledge using domain concept extractors and five types of label justification over a representative data sample. The design of Ziva is informed by preliminary interviews with data scientists, in order to understand current practices of domain knowledge acquisition process for ML development projects. To assess our design, we run a mix-method case-study to evaluate how Ziva can facilitate interaction between domain experts and data scientists. Our results highlight that (1) domain experts are able to use Ziva to provide rich domain knowledge, while maintaining low mental load and stress levels; and (2) data scientists find Ziva's output helpful for learning essential information about the domain, offering scalability of information, and lowering the burden on domain experts to share knowledge. We conclude this work by experimenting with building NLP models using the Ziva output for our case study. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI ; Interactive systems and tools.

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“…Im Zuge des Forschungsprojekts "Cyberrüsten 4.0" wurde am Beispiel von industriellen Rüstvorgängen an Umform-bzw. Biegemaschinen eine prototypische Applikation für eine Mixed-Reality-Technologie unter Verwendung der Microsoft "HoloLens" entwickelt und evaluiert (Abele et al 2016;De Carvalho et al 2018;Hoffmann et al 2019). Mithilfe dieses HMDs können prozessrelevante Informationen holografisch und kontextspezifisch in das reale Sichtfeld des Nutzers projiziert und mit internen sowie externen Sensordaten und Simulationen angereichert werden.…”

Section: Technologie-entwicklung Im Produktionsprozessunclassified

Interaktions-ergonomische Gestaltung und Kompatibilität von AR-unterstützten Informationsdarstellungen am Beispiel eines Head-Mounted Displays für industrielle Rüstvorgänge

Abele

Kluth

2021

Z. Arb. Wiss.

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Im Zuge des technologischen Fortschritts werden zunehmend analoge durch digitale Lösungen ersetzt. In diesem Zusammenhang treten neuartige Visualisierungsmöglichkeiten in den Vordergrund, wie z. B. Augmented Reality (AR). Der Umgang mit AR-basierten Informationsdarstellungen kann jedoch bei inkompatibler Gestaltung zu Performance-Verlusten und erhöhten physischen sowie psychischen Beanspruchungen führen. Bestehende ergonomische und nutzerzentrierte Richtlinien sowie gesetzliche Vorschriften können die Konzipierung und Usability derartiger Systeme aufgrund der rasanten technischen Weiterentwicklung nur bedingt unterstützen. Die vorliegende Ausarbeitung stellt an einem Praxisbeispiel dar, inwieweit eine cyber-physische Rüstapplikation in Form eines Head-Mounted Displays den geltenden interaktions-ergonomischen und kompatibilitäts-bezogenen Standards im Kontext industrieller Tätigkeiten und gesten-gesteuerter, binokularer AR-Systeme entspricht bzw. gerecht wird. Praktische Relevanz: Die präsentierten Ergebnisse nehmen für die Praxis eine wichtige Rolle ein, da die vorgestellte Systematik Arbeitspersonen bei komplexen Rüst-und Montagevorgängen unterstützen soll. Auf Grundlage dieser Erkenntnisse und mithilfe weiterer Optimierungsmöglichkeiten soll ein prozesssicherer, wertschöpfender und beanspruchungsminimaler Einsatz von AR-Systemen im industriellen Umfeld angestrebt werden.

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Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design

Cited by 26 publications

References 75 publications

Human-centred design in industry 4.0: case study review and opportunities for future research

Human-centred design in industry 4.0: case study review and opportunities for future research

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

Interaktions-ergonomische Gestaltung und Kompatibilität von AR-unterstützten Informationsdarstellungen am Beispiel eines Head-Mounted Displays für industrielle Rüstvorgänge

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