User Experience Analysis in Industry 4.0 - The Use of Biometric Devices in Engineering Design and Manufacturing

Borgianni, Yuri; Rauch, Erwin; Mark, Benedikt G.

doi:10.1109/ieem.2018.8607367

Cited by 19 publications

(5 citation statements)

References 28 publications

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“…Regarding iris-based authentication, in [10], the authors propose a secure and automatic payment system for small and medium-sized companies that are adapting to Industry 4.0 (they only propose the system but do not evaluate its behavior). Another solution that authenticates the user by the eye is given in [11], but now, instead of the iris, using its movement.…”

Section: Related Workmentioning

confidence: 99%

A Supervised ML Biometric Continuous Authentication System for Industry 4.0

López

Celdrán²,

Esquembre

et al. 2022

IEEE Trans. Ind. Inf.

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Continuous authentication (CA) is a promising approach to authenticate workers and avoid security breaches in the industry, especially in Industry 4.0, where most interaction between workers and devices takes place. However, introducing CA in industries raises the following unsolved questions regarding machine learning (ML) models: its precision and performance; its robustness; and the issue about if or when to retrain the models.To answer these questions, this article explores these issues with a proposed supervised versus nonsupervised ML-based CA system that uses sensors, applications statistics, or speaker data collected by the operator's devices. Experiments show supervised models with equal error rates of 7.28% using sensors data, 9.29% with statistics, and 0.31% with voice, a significant improvement of 71.97, 62.14, and 97.08%, respectively, over unsupervised models. Voice is the most robust dimension when adding new workers, with less than 2% of false acceptance rate even if workforce size is doubled.

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Section: Related Workmentioning

confidence: 99%

A Supervised ML Biometric Continuous Authentication System for Industry 4.0

López

Celdrán²,

Esquembre

et al. 2022

IEEE Trans. Ind. Inf.

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“…A promising area of design research is virtual ergonomics [9], in which digital human modeling technologies [214] are applied to implement a digital mannequin that is driven by the real operator to browse quickly a virtual scene via VR/AR interactions within the workstation while taking real posture during the execution of a work's task. Biometric-based user experience design, especially those based on eye tracking systems, lends itself to be a promising area for investigating human-data interaction in the Industry 4.0 work environment [215].…”

Section: The System Perspective -Design Of Human-cyber-physical Systemsmentioning

confidence: 99%

Design Engineering in the Age of Industry 4.0

Jiao

Commuri

Panchal

et al. 2021

Journal of Mechanical Design

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Industry 4.0 is based on the digitization of manufacturing industries and has raised the prospect for substantial improvements in productivity, quality, and customer satisfaction. This digital transformation not only affects the way products are manufactured, but also creates new opportunities for the design of products, processes, services, and systems. Unlike traditional design practices based on system-centric concepts, design for these new opportunities requires a holistic view of the human (stakeholder), artefact (product) and process (realization) dimensions of the design problem. This paper envisions a ‘human-cyber-physical view of the systems realization ecosystem’, termed as ‘Design Engineering 4.0’, to reconceptualize how cyber and physical technologies can be seamlessly integrated to identify and fulfil customer needs and garner the benefits of Industry 4.0. In this paper, we review the evolution of design engineering in response to advances in several strategic areas including smart and connected products, end-to-end digital integration, customization and personalization, data-driven design, digital twins and intelligent design automation, extended supply chains and agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization, anything-as-a-service, and platformization for the sharing economy. We postulate that Design Engineering 4.0 will account for drivers such as Internet of Things, Internet of People, Internet of Services, and Internet of Commerce to deliver on the promise of Industry 4.0. Further, we identify key issues to be addressed in Design Engineering 4.0 and engage the Design Community on the challenges of the future.

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“…Krugh et al measure human-machine interaction using the Internet of Things (IoT) to understand the impact of people on Industry 4.0 assembly systems [65]. Eye-tracking can be used to analyze the user experience of engineering design and manufacturing [89]. A theoretical human-centered framework for operator 4.0 using digital twin based simulation and real-time human data capture can be used to provide insights on operator ergonomics and mental workload [69].…”

Section: Industry 40 Technologies For Improving Processes and Decisionsmentioning

confidence: 99%

Lean Manual Assembly 4.0: A Systematic Review

2020

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In a demand context of mass customization, shifting towards the mass personalization of products, assembly operations face the trade-off between highly productive automated systems and flexible manual operators. Novel digital technologies—conceptualized as Industry 4.0—suggest the possibility of simultaneously achieving superior productivity and flexibility. This article aims to address how Industry 4.0 technologies could improve the productivity, flexibility and quality of assembly operations. A systematic literature review was carried out, including 234 peer-reviewed articles from 2010–2020. As a result, the analysis was structured addressing four sets of research questions regarding (1) assembly for mass customization; (2) Industry 4.0 and performance evaluation; (3) Lean production as a starting point for smart factories, and (4) the implications of Industry 4.0 for people in assembly operations. It was found that mass customization brings great complexity that needs to be addressed at different levels from a holistic point of view; that Industry 4.0 offers powerful tools to achieve superior productivity and flexibility in assembly; that Lean is a great starting point for implementing such changes; and that people need to be considered central to Assembly 4.0. Developing methodologies for implementing Industry 4.0 to achieve specific business goals remains an open research topic.

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User Experience Analysis in Industry 4.0 - The Use of Biometric Devices in Engineering Design and Manufacturing

Cited by 19 publications

References 28 publications

A Supervised ML Biometric Continuous Authentication System for Industry 4.0

A Supervised ML Biometric Continuous Authentication System for Industry 4.0

Design Engineering in the Age of Industry 4.0

Lean Manual Assembly 4.0: A Systematic Review

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