舔食
发表于 2025-3-30 11:53:51
New Industrial Work: Personalised Job Roles, Smooth Human-Machine Teamwork and Support for Well-Beid collaboration in them. The work community should be engaged in designing the new solutions, as well as related new job roles, training and on-the-job support. Impacts on well-being at work should be considered in the design and monitored during the transformation. Future factories are dynamic and
acetylcholine
发表于 2025-3-30 14:16:47
,Which Factors Influence Laboratory Employees’ Acceptance of Laboratory 4.0 Systems?, in the sensitive field of laboratory data. The results revealed that users’ attitude toward laboratory 4.0 is heavily affected by users’ perceived usefulness which, in turn, impacts the intention to use laboratory 4.0. By determining the total effects, perceived usefulness is the most important fac
CYN
发表于 2025-3-30 17:23:04
Interfaces, Interactions, and Industry 4.0: A Framework for the User-Centered Design of Industrial and challenges for evaluating the interface. On the one hand, the article provides an overview of Industrial User Interfaces—from shop floor to strategic dimensions of production—and examples of the breadth of future Industrial User Interfaces (e.g., computer, VR, or Human-Robot-Interaction). On the
细胞膜
发表于 2025-3-31 00:16:39
interactions with production environments to develop a common vision of how to design future interactions in the industrial domain...In this context, various topics are covered: a detailed overview on assistive978-3-030-99237-8978-3-030-99235-4
encomiast
发表于 2025-3-31 03:24:26
https://doi.org/10.1057/9780230510630. Furthermore, we investigate ways to further increase acceptance by creating user-specific “bottom-up” gamification designs, like custom agents and branded gamification. The overview concludes with design recommendations tailored for the production domain.
AGGER
发表于 2025-3-31 07:41:28
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谄媚于性
发表于 2025-3-31 12:49:03
Wi-FiTM: Architecture and Functions,n adaptation loop to continuously adapt the provided assistance and the system behavior to the current user. A selection of algorithms to realize adaptive behavior concludes our contribution. Following a human-centered design approach, three exemplary scenarios for assistance on the shop floor demonstrate the application of our approach.