Augmented Reality

I4S 3/2026: Immersive Technologies in Production

I4S 3/2026: Immersive Technologies in Production

VR, AR, MR, XR: Catalysts for the next industrial revolution?
Immersive technologies are fundamentally transforming manufacturing. VR, AR, MR, and XR merge physical and digital worlds into interactive work environments. In Industry 4.0, they enable more intuitive access to planning, production, maintenance, and training. This issue of Industry 4.0 Science shows how immersive technologies are becoming a central building block of resilient, flexible, and innovative production systems.
Industrial Application of Immersive Technologies

Industrial Application of Immersive Technologies

Exploring XR solutions for training, instruction, design review, and assembly planning
Andreas Straube ORCID Icon, Faikar Zakky Haidar ORCID Icon, Matheus Lenzi dos Santos ORCID Icon, Kussai AI Jairoud ORCID Icon, Eduardo Koscianski ORCID Icon
In recent years, the decreasing cost and improved usability of immersive hardware and software have made extended reality (XR) increasingly attractive for industrial applications. Stand-alone systems with inside-out tracking and camera-based pass-through enable accessible mixed reality (MR) solutions. At the same time, emerging no-code software platforms allow engineers to create XR environments without programming expertise, broadening adoption across production settings. This paper explores key industrial application areas of immersive technologies through selected commercially available XR software solutions for product and process training, spatial instructions and guides, collaborative design review, and assembly and production planning.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 38-47 | DOI 10.30844/I4SE.26.3.4
Applied Knowledge and Augmented Reality

Applied Knowledge and Augmented Reality

Bridging the gap between learning and application
Jana Gonnermann-Müller ORCID Icon, Philip Wotschack, Martin Krzywdzinski ORCID Icon, Norbert Gronau ORCID Icon
The increasing complexity of industrial environments demands new competencies from workers, particularly the ability to interact with advanced digital systems. Traditional training methods often fall short in supporting the effective transfer of applied knowledge to such contexts, and the effectiveness of this transfer, as measured by performance-based outcomes, remains to be investigated. To address this gap, the present study employed a between-subjects experimental design comparing augmented reality- and paper-based instructions within a realistic production training scenario. The results show that participants who learned with augmented reality completed the production process significantly faster and with fewer errors than those using paper instructions. In addition, learners using augmented reality reported higher usability and experienced lower cognitive load during training. These findings suggest that augmented reality can enhance the transfer of practical skills in industrial ...
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 22-29 | DOI 10.30844/I4SE.25.5.22
Digital Supply Chain Twin: The Pathway to Success

Digital Supply Chain Twin: The Pathway to Success

A catalyst for increasing competitiveness
Gökhan Cenk ORCID Icon, Jonas Andersson, Tobias Engel ORCID Icon
Companies face a variety of challenges when optimizing global supply chains. Economic interests must be balanced with legal requirements, such as the German Supply Chain Due Diligence Act (SCDDA) and the European Sustainability Reporting Standards (ESRS). A digital supply chain twin (DSCT) enables the visualization of value creation networks and supports key business functions, such as purchasing, supply chain management, distribution, service, and sales. By leveraging immersive technologies, the DSCT helps generate sustainable competitive advantages across the entire supply network.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 52-60 | DOI 10.30844/I4SE.25.3.52
Training in the Industrial Metaverse

Training in the Industrial Metaverse

Buzzword or opportunity?
Leon Schellhammer ORCID Icon, Lucas Waag, Mert Cumert, Dieter Uckelmann ORCID Icon
Metaverse-based training programs offer a realistic and risk-free learning environment that is particularly valuable in industrial contexts, e.g. in immersive training and the simulation of workflows. Challenges remain in the areas of data protection, technological acceptance and integration into existing systems. Using a carefully crafted questionnaire, four expert interviews were conducted to investigate whether the metaverse can innovate training programs effectively and lastingly. Its standardized format yields comparable, reliable data while allowing for an accurate evaluation of the results.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 102-108
The “InTraLab” Learning Factory

The “InTraLab” Learning Factory

Gaining experience and knowledge in digitally transformed work environments
Norbert Gronau ORCID Icon, Malte Teichmann
Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 46-51
Assembly in Transition

Assembly in Transition

Empirical results of digitalization
Herwig Winkler ORCID Icon
Assembly is an important part of industrial production and is also characterized by a high proportion of manual work. Manufacturing companies have an intrinsic interest in increasing personnel productivity and preventing unit labor costs from rising. Many thus hope to gain economic benefits by implementing digitalization projects. The potential of digitalization in assembly must be exploited to achieve these goals.
Industry 4.0 Science | Volume 41 | 2025 | Edition 1 | Pages 42-49
Cognitive Assistance Systems in Intralogistics

Cognitive Assistance Systems in Intralogistics

User studies with augmented reality and an AI chatbot
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon
Assistance systems improve work processes, shorten learning times and increase flexibility in the workplace. Human-centered, resilient and sustainable production approaches where user acceptance is of the utmost importance play a crucial role in the digitized Industry 5.0. Two user studies investigate how useful the support of technologies like augmented reality and AI chat actually is. In the context of cognitive assistance systems in intralogistics, artificial intelligence and augmented reality have a great potential and can contribute to an improvement in process performance. The usability of these systems in terms of human-centricity of Industry 5.0 is crucial. This article describes the results and findings of two user studies conducted in the laboratory for intralogistics work processes (picking and packing). The assistance systems used were evaluated using the System Usability Scale.   Cognitive assistance systems in intralogistics Assistance systems make a ...
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 67-72 | DOI 10.30844/I4SE.24.5.66
secureAR – An AR Platform for Industrial Manufacturing

secureAR – An AR Platform for Industrial Manufacturing

Development and testing of an AR assistance system with consideration of cyber security
Frank-Peter Schiefelbein, Stefan Sigl
With its ability to integrate digital information into the real world, augmented reality (AR) is increasingly becoming a critical success factor when it comes to safe, efficient and human-centered manufacturing. However, the implementation of an AR project poses various challenges that can hinder its ability to succeed. A clear sequence of steps for implementing this technology is therefore essential.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 64-71
Disruption Management with Digital Assistance Systems

Disruption Management with Digital Assistance Systems

A generic approach for the product lifecycle
Niklas Jahn, Tim Jansen ORCID Icon, Robert Rost, Hermann Lödding ORCID Icon
In the production and operation of complex, one- of-a-kind products, disruptions inevitably occur. In practice, there are often deficits in terms of transparency and information flow when it comes to disruption management. Digital assistance systems facilitate disruption documentation: they increase the quality of information by locating it in the CAD model and in the overall product plan, thus accelerating targeted fault elimination. A generic data model makes it possible to use digital assistance systems for different products, trades and processes and in different product life phases. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 15-19
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