PrintARface: Supporting the Exploration of Cyber-Physical Systems through Augmented Reality

Jasche, Florian; Ludwig, Thomas

doi:10.1145/3419249.3420162

Cited by 7 publications

(1 citation statement)

References 40 publications

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“…In the context of human-centric manufacturing, it is apparent that effective operations need exactly this kind of reactive, dynamic, visualization and AR is considered to have the potential to provide interfaces to display real-time feedback during the operation of machinery. Such interfaces can also be considered as second-level functionalities which not only allow the user to interact with the machine but also explain and support the interaction thus, inter alia speeding up accurate decision-making (Jasche and Ludwig, 2020;Ludwig et al, 2017;Stevens et al, 2009). Sensing the machines' behaviour and interconnectivity are prerequisites for these interfaces (Al-Maeeni et al, 2020).…”

Section: Supporting Hardware-based Expertise Through Augmented Realitymentioning

confidence: 99%

RetrofittAR: Supporting Hardware-Centered Expertise Sharing in Manufacturing Settings through Augmented Reality

Hoffmann

Ludwig

Jasche

et al. 2022

Comput Supported Coop Work

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Since almost the onset of computer-supported cooperative work (CSCW), the community has been concerned with how expertise sharing can be supported in different settings. Here, the complex handling of machines based on experience and knowledge is increasingly becoming a challenge. In our study, we investigated expertise sharing in a medium-sized manufacturing company in an effort to support the fostering of hardware-based expertise sharing by using augmented reality (AR) to ‘retrofit’ machines. We, therefore, conducted a preliminary empirical study to understand how expertise is shared in practice and what current support is available. Based on the findings, we derived design challenges and implications for the design of AR systems in manufacturing settings. The main challenges, we found, had to do with existing socio-technical infrastructure and the contextual nature of expertise. We implemented a HoloLens application called RetrofittAR that supports learning on the production machine during actual use. We evaluated the system during the company’s actual production process. The results show which data types are necessary to support expertise sharing and how our design supports the retrofitting of old machines. We contribute to the current state of research in two ways. First, we present the knowledge-intensive practice of operating older production machines through novel AR interfaces. Second, we outline how retrofitting measures with new visualisation technologies can support knowledge-intensive production processes.

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Section: Supporting Hardware-based Expertise Through Augmented Realitymentioning

confidence: 99%

RetrofittAR: Supporting Hardware-Centered Expertise Sharing in Manufacturing Settings through Augmented Reality

Hoffmann

Ludwig

Jasche

et al. 2022

Comput Supported Coop Work

Self Cite

View full text Add to dashboard Cite

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shARe-IT: Ad hoc Remote Troubleshooting through Augmented Reality

Ludwig

Stickel

Tolmie

et al. 2021

Comput Supported Coop Work

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Abstract10 years ago, Castellani et al. (Journal of Computer Supported Cooperative Work, vol. 18, no. 2–3, 2009, pp. 199–227, 2009) showed that using just an audio channel for remote troubleshooting can lead to a range of problems and already envisioned a future in which augmented reality (AR) could solve many of these issues. In the meantime, AR technologies have found their way into our everyday lives and using such technologies to support remote collaboration has been widely studied within the fields of Human-Computer Interaction and Computer-Supported Cooperative Work. In this paper, we contribute to this body of research by reporting on an extensive empirical study within a Fab Lab of troubleshooting and expertise sharing and the potential relevance of articulation work to their realization. Based on the findings of this study, we derived design challenges that led to an AR-based concept, implemented as a HoloLens application, called shARe-it. This application is designed to support remote troubleshooting and expertise sharing through different communication channels and AR-based interaction modalities. Early testing of the application revealed that novel interaction modalities such as AR-based markers and drawings play only a minor role in remote collaboration due to various limiting factors. Instead, the transmission of a shared view and especially arriving at a shared understanding of the situation as a prerequisite for articulation work continue to be the decisive factors in remote troubleshooting.

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