{"id":103441,"date":"2024-02-20T13:45:46","date_gmt":"2024-02-20T12:45:46","guid":{"rendered":"https:\/\/industry-science.com\/?page_id=103441"},"modified":"2024-05-13T20:07:07","modified_gmt":"2024-05-13T18:07:07","slug":"augmented-reality","status":"publish","type":"page","link":"https:\/\/industry-science.com\/en\/tools\/augmented-reality\/","title":{"rendered":"Augmented Reality"},"content":{"rendered":"\n\n\n
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\n \n
\n \n \n \n \"Immersive\n <\/picture>\n <\/div>\n
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Immersive Human Digital Twins for Industry 4.0<\/h4>\n
Supporting adaptive human-centric production by integrating cognitive and physical states<\/div>
Tajbeed A. Chowdhury<\/a> \n \"ORCID<\/a>, Martina Lehser<\/a> \n \"ORCID<\/a>, Eric Wagner<\/a> \n \"ORCID<\/a>, Paul Motzki<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The rapid advancement of immersive technologies has created new opportunities to transform human-machine collaboration in industry. This paper presents an immersive platform with a digital twin that combines both physical and cognitive characteristics of human dynamics. By integrating multimodal sensing, human biomechanics, and cognitive state into digital twin technology, the proposed system enhances operational safety and ensures better ergonomics. The main argument is that human digital twins are not only desirable but essential for next-generation industrial systems. We discuss the limitations of existing human modeling approaches, outline the conceptual foundations of human digital twins, and demonstrate their industrial relevance across safety, productivity, ergonomics and sustainability. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 6-13 | DOI 10.30844\/I4SE.26.3.1<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Industrial\n <\/picture>\n <\/div>\n
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Industrial Application of Immersive Technologies<\/h4>\n
Exploring XR solutions for training, instruction, design review, and assembly planning<\/div>
Andreas Straube<\/a> \n \"ORCID<\/a>, Faikar Zakky Haidar<\/a> \n \"ORCID<\/a>, Matheus Lenzi dos Santos<\/a> \n \"ORCID<\/a>, Kussai AI Jairoud<\/a> \n \"ORCID<\/a>, Eduardo Koscianski<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n 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. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 38-47 | DOI 10.30844\/I4SE.26.3.4<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Applied\n <\/picture>\n <\/div>\n
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Applied Knowledge and Augmented Reality<\/h4>\n
Bridging the gap between learning and application<\/div>
Jana Gonnermann-M\u00fcller<\/a> \n \"ORCID<\/a>, Philip Wotschack<\/a> \n \"ORCID<\/a>, Martin Krzywdzinski<\/a> \n \"ORCID<\/a>, Norbert Gronau<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n 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 ... <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 22-29 | DOI 10.30844\/I4SE.25.5.22<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Virtual\n <\/picture>\n <\/div>\n
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Virtual Exhibition as a Digital Twin<\/h4>\n
A framework for decision-making for virtual representations<\/div>
Isger Glauninger<\/a> \n \"ORCID<\/a>, Markus Sch\u00fcrmann<\/a>, Matthias M\u00fchl<\/a>, Christian van Husen<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>Transforming formats such as showrooms, laboratories or exhibitions into a virtual presence offers both opportunities and challenges. Particularly with cyber-physical systems (CPS), which rely heavily on user interaction, extensive adaptations must be made in order to maintain their purpose and function virtually. As part of this research project, digital solutions from different technologies and fields of application were transferred to a virtual exhibition. On this basis, the influence of the digital transformation on the interactivity and emulation of the solutions was analyzed. This article presents a framework that supports practitioners in the implementation of virtual representations. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | Edition 3 | Pages 110-116<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Training\n <\/picture>\n <\/div>\n
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Training in the Industrial Metaverse<\/h4>\n
Buzzword or opportunity?<\/div>
Leon Schellhammer<\/a> \n \"ORCID<\/a>, Lucas Waag<\/a>, Mert Cumert<\/a>, Dieter Uckelmann<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>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.\u00a0Using 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. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 2 | Pages 102-108<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"secureAR\n <\/picture>\n <\/div>\n
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secureAR \u2013 An AR Platform for Industrial Manufacturing<\/h4>\n
Development and testing of an AR assistance system with consideration of cyber security<\/div>
Frank-Peter Schiefelbein<\/a>, Stefan Sigl<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n 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. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 2 | Pages 64-71<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Digital\n <\/picture>\n <\/div>\n
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Digital Transformation for SMEs<\/h4>\n
Developing a roadmap for Industry 4.0 visions in small and medium-sized enterprises<\/div>
Robin Sutherland<\/a> \n \"ORCID<\/a>, Nicolas Wittine<\/a> \n \"ORCID<\/a>, Deike Gliem<\/a> \n \"ORCID<\/a>, Sigrid Wenzel<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Small and medium-sized enterprises still face the challenge of shaping their digital transformation. Maturity models offer a way to capture the situation within a company and support the formation of an Industry 4.0 vision. This paper presents a methodology that companies can use to develop a roadmap for shaping digital transformation by enabling the transfer of this vision into concrete decision-making steps. <\/div>\n <\/div>\n
Industrie 4.0 Management<\/strong> | Volume 39 | 2023 | Edition 4 | Pages 59-62 | DOI 10.30844\/IM_23-4_59-62<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"On-Site\n <\/picture>\n <\/div>\n
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On-Site BLE-Based Data Collection<\/h4>\n
Hendrik Jonitz<\/a>, Thomas Braml<\/a>, Eva-Maria Kern<\/a>, Marius Herzog<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>The increasing industrialization of the construction industry enables the implementation of a standardized process performance management, which can be used to analyze and control operational processes on construction sites [1]. This requires appropriate process data. The subject of this paper is the presentation of a structured procedure for process data collection based on Bluetooth Low Energy. The experiences gained in the course of field studies are used to derive opportunities and challenges and thus provide practical information on the use of BLE for process data collection. (Only in German) <\/div>\n <\/div>\n
Industrie 4.0 Management<\/strong> | Volume 39 | 2023 | Edition 3 | Pages 42-47<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Disruption\n <\/picture>\n <\/div>\n
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Disruption Management with Digital Assistance Systems<\/h4>\n
A generic approach for the product lifecycle<\/div>
Niklas Jahn<\/a>, Tim Jansen<\/a> \n \"ORCID<\/a>, Robert Rost<\/a>, Hermann L\u00f6dding<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>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) <\/div>\n <\/div>\n
Industrie 4.0 Management<\/strong> | Volume 39 | 2023 | Edition 2 | Pages 15-19<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
\n \n
\n \n \n \n \"Trends\n <\/picture>\n <\/div>\n
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Trends and Challenges in Factory Software<\/h4>\n
Norbert Gronau<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Any networked information system that is used in the context of manufacturing and logistics in a factory can be referred to as factory software. This article describes six trends that will significantly influence the way software is used in factories in the near future. The trends are described in ascending order in terms of significance of impact. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 39 | 2023 | Edition 1 | Pages 114-119 | DOI 10.30844\/I4SE.23.1.114<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n<\/div>\n\n
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