Imagine if the software and robots at work were designed by the people actually using them, rather than just by engineers in a lab. This effort creates a way for workers to help build the tools they use every day, making sure the tech actually helps instead of getting in the way. It's like tailoring a suit to fit the person perfectly instead of forcing the person to fit into a standard size.
Industrial automation often ignores the worker, leading to low job satisfaction, disempowerment, and inefficiency. Companies struggle to implement AI that workers actually trust and use effectively.
A diagnostic tool based on CAPS empowerment factors and a suite of technical tools including Explainable AI (XAI), privacy-preserving feedback methods, and interface redesign guidelines.
If you are an assembly plant operator dealing with worker resistance to new automation — this project developed co-development methodologies and human-centric interface redesigns that increase job satisfaction and autonomy.
If you are a warehouse management firm dealing with opaque AI decision-making — this project developed Explainable AI (XAI) and real-time worker feedback tools that improve safety and trust in digital systems.
If you are a specialized component manufacturer dealing with low productivity during digital transitions — this project developed the CAPS diagnostic tool to measure and improve creativity and collaboration on the shop floor.
Based on available project data, specific pricing for the tools is not mentioned; however, the project is supported by an EU contribution of EUR 9,998,550.
The project is being demonstrated across 17 pilots in 19 companies across 14 countries and 14 industrial ecosystems.
Based on available project data, specific licensing terms are not provided, but the project focuses on an active campaign of cross-sector empowerment practices exchange.
It integrates through technical innovations such as Explainable AI (XAI), privacy-preserving models, and human-centric interface redesigns.
The project period runs from 2024-01-01 to 2027-12-31.
The consortium is heavily weighted toward industrial application, with 24 industry partners (67% ratio) and 11 SMEs, ensuring the results are grounded in commercial reality. With 36 partners across 17 countries, the project has a massive geographic and sectoral reach, coordinated by a social sciences university to balance technical AI development with human-centric needs.
Contact Erasmus Universiteit Rotterdam regarding the SEISMEC shift and CAPS factors.
Contact us to find a matching pilot partner for Industry 5.0 transition.
