With a human-centered approach, the aim is to contribute to the interaction design of technologies serving work in various industrial fields, facilitating processes from design to production, as well as the learning and maintenance of machinery. Emerging technologies (e.g., cobots, IoT, XR, AI) can indeed contribute to new paradigms of production and design, but they require particular attention to both potential productivity advantages and potential risks. Design research can facilitate more effective design of systems and interfaces for the operational management of production processes, which can become more understandable, transparent, and controllable, while also facilitating monitoring of ordinary and extraordinary maintenance of machinery and making any interventions more timely and therefore economical. An equally relevant area of interest is learning, i.e., training personnel both when they need to be fully trained and in the case of continuous updating. This latter aspect is increasingly necessary with new solutions because they are more accessible, digitized, and oriented towards automation. These technologies can therefore contribute to new paradigms of production and design, but the goal is also to reflect on the quality of working life in the industrial field, investigating how to define the appropriate cognitive load to ensure a stimulating and rewarding environment, in a safer, more efficient, smarter, and increasingly automated factory.