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    Sven Hoffmann M.Sc.

    sven_hoffmann

    Mail: sven.hoffmann(at)uni-siegen.de

    Room: US-D 113

    Phone: +49 (0) 271 740-2098

    Office hours: On appointment

    Publications

    2023


    • Abele, N. D., Hoffmann, S., Pinatti De Carvalho, A. F., Schweitzer, M., Wulf, V. & Kluth, K. (2023)Development and Evaluation of a Knowledge-Based Cyber-Physical Production System to Support Industrial Set-Up Processes Considering Ergonomic and User-Centered Aspects

      Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Cham, Publisher: Springer Nature Switzerland, Pages: 317–329 doi:10.1007/978-3-031-35741-1_24
      [BibTeX] [Abstract]

      Dynamic markets and constantly changing work practices are causing an increased number of industrial set-up operations on production machines in the wake of a growing demand for customized product requirements. Augmented reality (AR)-based cyber-physical production systems (CPPS) can be used to support complex and knowledge-intensive processes. Resting on a comprehensive ethnographic study, this topic was addressed to identify practices of machine operators in the course of set-up processes on forming or bending machines through a qualitative research approach. Subsequently, a set-up application for an AR-mediated head-mounted display was developed according to a user-centered design approach. For a holistic, objective and subject-related human factors analysis on the handling of AR-based CPPS in the context of assembly or set-up processes, ergonomic sub-studies were conducted. The research work advances the state of the art in the design of digital technologies or CPPS to support operators who are entrusted with set-up processes of industrial production machines.

      @inproceedings{abele_development_2023,
      address = {Cham},
      series = {Lecture {Notes} in {Computer} {Science}},
      title = {Development and {Evaluation} of a {Knowledge}-{Based} {Cyber}-{Physical} {Production} {System} to {Support} {Industrial} {Set}-{Up} {Processes} {Considering} {Ergonomic} and {User}-{Centered} {Aspects}},
      isbn = {978-3-031-35741-1},
      doi = {10.1007/978-3-031-35741-1_24},
      abstract = {Dynamic markets and constantly changing work practices are causing an increased number of industrial set-up operations on production machines in the wake of a growing demand for customized product requirements. Augmented reality (AR)-based cyber-physical production systems (CPPS) can be used to support complex and knowledge-intensive processes. Resting on a comprehensive ethnographic study, this topic was addressed to identify practices of machine operators in the course of set-up processes on forming or bending machines through a qualitative research approach. Subsequently, a set-up application for an AR-mediated head-mounted display was developed according to a user-centered design approach. For a holistic, objective and subject-related human factors analysis on the handling of AR-based CPPS in the context of assembly or set-up processes, ergonomic sub-studies were conducted. The research work advances the state of the art in the design of digital technologies or CPPS to support operators who are entrusted with set-up processes of industrial production machines.},
      language = {en},
      booktitle = {Digital {Human} {Modeling} and {Applications} in {Health}, {Safety}, {Ergonomics} and {Risk} {Management}},
      publisher = {Springer Nature Switzerland},
      author = {Abele, Nils Darwin and Hoffmann, Sven and Pinatti De Carvalho, Aparecido Fabiano and Schweitzer, Marcus and Wulf, Volker and Kluth, Karsten},
      editor = {Duffy, Vincent G.},
      year = {2023},
      keywords = {Augmented Reality, Cyber-Physical Production System, Industrial Set-Up},
      pages = {317--329},
      }

    2022


    • Hoffmann, S., Pinatti de Carvalho, A. F., Schweitzer, M., Abele, N. D. & Wulf, V. (2022)Producing and Consuming Instructional Material in Manufacturing Contexts: Evaluation of an AR-based Cyber-Physical Production System for Supporting Knowledge and Expertise Sharing

      IN Proceedings of the ACM on Human-Computer Interaction, Vol. 6, Pages: 366:1–366:36 doi:10.1145/3555091
      [BibTeX] [Abstract] [Download PDF]

      Fast-paced knowledge and expertise sharing (KES) is a typical demand in contemporary workplaces due to dynamic markets and ever-changing work practices. Past and current computer supported cooperative work (CSCW) research has long been investigating how computer technologies can support people with KES. Recent claims have asserted that augmented reality- (AR-)based cyber-physical production systems (CPPS) are poised to bring significant changes in the ways that KES unfolds in manufacturing contexts. This paper scrutinises such claims by implementing a short-term evaluation of an AR-based CPPS and assessing how it can potentially support (1) the generation of AR content by experienced production workers and (2) the visualisation and processing of such content by novice workers. We, therefore, contribute a user study to the CSCW community that sheds light on the use of a particular type of AR-based CPPS for KES in industrial contexts.?

      @article{hoffmann_producing_2022,
      title = {Producing and {Consuming} {Instructional} {Material} in {Manufacturing} {Contexts}: {Evaluation} of an {AR}-based {Cyber}-{Physical} {Production} {System} for {Supporting} {Knowledge} and {Expertise} {Sharing}},
      volume = {6},
      shorttitle = {Producing and {Consuming} {Instructional} {Material} in {Manufacturing} {Contexts}},
      url = {https://doi.org/10.1145/3555091},
      doi = {10.1145/3555091},
      abstract = {Fast-paced knowledge and expertise sharing (KES) is a typical demand in contemporary workplaces due to dynamic markets and ever-changing work practices. Past and current computer supported cooperative work (CSCW) research has long been investigating how computer technologies can support people with KES. Recent claims have asserted that augmented reality- (AR-)based cyber-physical production systems (CPPS) are poised to bring significant changes in the ways that KES unfolds in manufacturing contexts. This paper scrutinises such claims by implementing a short-term evaluation of an AR-based CPPS and assessing how it can potentially support (1) the generation of AR content by experienced production workers and (2) the visualisation and processing of such content by novice workers. We, therefore, contribute a user study to the CSCW community that sheds light on the use of a particular type of AR-based CPPS for KES in industrial contexts.?},
      number = {CSCW2},
      urldate = {2022-11-15},
      journal = {Proceedings of the ACM on Human-Computer Interaction},
      author = {Hoffmann, Sven and Pinatti de Carvalho, Aparecido Fabiano and Schweitzer, Marcus and Abele, Nils Darwin and Wulf, Volker},
      month = nov,
      year = {2022},
      keywords = {knowledge and expertise sharing, augmented reality, cyber-physical production systems, evaluation, machine set-up, manufacturing contexts},
      pages = {366:1--366:36},
      }


    • Hoffmann, S., Ludwig, T., Jasche, F., Wulf, V. & Randall, D. (2022)RetrofittAR: Supporting Hardware-Centered Expertise Sharing in Manufacturing Settings through Augmented Reality

      IN Computer Supported Cooperative Work (CSCW) doi:10.1007/s10606-022-09430-x
      [BibTeX] [Abstract] [Download PDF]

      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.

      @article{hoffmann_retrofittar_2022,
      title = {{RetrofittAR}: {Supporting} {Hardware}-{Centered} {Expertise} {Sharing} in {Manufacturing} {Settings} through {Augmented} {Reality}},
      issn = {1573-7551},
      shorttitle = {{RetrofittAR}},
      url = {https://doi.org/10.1007/s10606-022-09430-x},
      doi = {10.1007/s10606-022-09430-x},
      abstract = {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.},
      language = {en},
      urldate = {2022-07-01},
      journal = {Computer Supported Cooperative Work (CSCW)},
      author = {Hoffmann, Sven and Ludwig, Thomas and Jasche, Florian and Wulf, Volker and Randall, David},
      month = jun,
      year = {2022},
      keywords = {CSCW, Augmented Reality, Expertise Sharing, Manufacturing, Retrofit},
      }

    2021


    • Hoffmann, S., Jasche, F. & Ludwig, T. (2021)Reflections on a Comparative AR Study

      , Publisher: IEEE Computer Society, Pages: 106–108 doi:10.1109/ISMAR-Adjunct54149.2021.00031
      [BibTeX] [Abstract] [Download PDF]

      A variety of studies exist that design innovative interactions based on augmented reality (AR). Comparing them often involves examining their laboratory studies. However, since AR has a high context dependency (e.g., reference to the real environment), it is important to emphasize that existing literature do not reveal generalizable results regarding how to design AR instructions. Within this paper, we argue that it is time to open up new use cases and test appropriation mechanisms in practice with the help of long-term studies to build a base for the comparison of AR-based interactions. Such a repository built up with long-term studies has the potential to define valid insights for future developments in the AR environment.

      @inproceedings{hoffmann_reflections_2021,
      title = {Reflections on a {Comparative} {AR} {Study}},
      isbn = {978-1-66541-298-8},
      url = {https://www.computer.org/csdl/proceedings-article/ismar-adjunct/2021/129800a106/1yeQDjpkbXW},
      doi = {10.1109/ISMAR-Adjunct54149.2021.00031},
      abstract = {A variety of studies exist that design innovative interactions based on augmented reality (AR). Comparing them often involves examining their laboratory studies. However, since AR has a high context dependency (e.g., reference to the real environment), it is important to emphasize that existing literature do not reveal generalizable results regarding how to design AR instructions. Within this paper, we argue that it is time to open up new use cases and test appropriation mechanisms in practice with the help of long-term studies to build a base for the comparison of AR-based interactions. Such a repository built up with long-term studies has the potential to define valid insights for future developments in the AR environment.},
      language = {English},
      urldate = {2021-11-10},
      publisher = {IEEE Computer Society},
      author = {Hoffmann, Sven and Jasche, Florian and Ludwig, Thomas},
      month = oct,
      year = {2021},
      pages = {106--108},
      }


    • Jasche, F., Hoffmann, S., Ludwig, T. & Wulf, V. (2021)Comparison of Different Types of Augmented Reality Visualizations for Instructions.

      CHI ’21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Publisher: ACM, New York, NY, USA, Pages: 1–13 doi:10.1145/3411764.3445724
      [BibTeX] [Download PDF]

      @inproceedings{jasche_comparison_2021,
      address = {Yokohama, Japan},
      title = {Comparison of {Different} {Types} of {Augmented} {Reality} {Visualizations} for {Instructions}.},
      url = {https://dl.acm.org/doi/pdf/10.1145/3411764.3445724},
      doi = {10.1145/3411764.3445724},
      booktitle = {{CHI} '21: {Proceedings} of the 2021 {CHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
      publisher = {ACM, New York, NY, USA},
      author = {Jasche, Florian and Hoffmann, Sven and Ludwig, Thomas and Wulf, Volker},
      month = may,
      year = {2021},
      keywords = {a-paper},
      pages = {1--13},
      }


    • de Carvalho, A. F. P., Hoffmann, S., Abele, D., Schweitzer, M. & Wulf, V. (2021)Designing Cyber-Physical Production Systems for Industrial Set-Up: A Practice-Centred Approach

      Human-Computer Interaction – INTERACT 2021. Cham, Publisher: Springer International Publishing, Pages: 678–701 doi:10.1007/978-3-030-85623-6_38
      [BibTeX] [Abstract]

      Industrial set-up has long been a focus of scientific research, largely because it entails substantial cost overhead for manufacturing companies. Whilst various efforts have been made to optimise this process, mainly in terms of time and other resources needed to accomplish it, to date little can be found in the HCI literature about how digital technologies can support workers who engage in it. This article sets out to addresses this gap in the literature by introducing a design case study carried out for the conception of a CPPS (Cyber-physical Production System) to support machine operators with industrial set-up. Our contribution is therefore threefold: first, we describe and discuss the results of an in-depth ethnographic study, carried out under the premises of the grounded design research paradigm, to uncover practices of machine operators to inform design. Second, we introduce a series of design implications drawn from those results. Finally, we demonstrate how those design implications have informed the participatory design activities pursued for the conception of the CPPS in question. In so doing, we advance the state of the art on the design of digital technologies to support people working with industrial set-up and open new research directions on the subject.

      @inproceedings{de_carvalho_designing_2021,
      address = {Cham},
      series = {Lecture {Notes} in {Computer} {Science}},
      title = {Designing {Cyber}-{Physical} {Production} {Systems} for {Industrial} {Set}-{Up}: {A} {Practice}-{Centred} {Approach}},
      isbn = {978-3-030-85623-6},
      shorttitle = {Designing {Cyber}-{Physical} {Production} {Systems} for {Industrial} {Set}-{Up}},
      doi = {10.1007/978-3-030-85623-6_38},
      abstract = {Industrial set-up has long been a focus of scientific research, largely because it entails substantial cost overhead for manufacturing companies. Whilst various efforts have been made to optimise this process, mainly in terms of time and other resources needed to accomplish it, to date little can be found in the HCI literature about how digital technologies can support workers who engage in it. This article sets out to addresses this gap in the literature by introducing a design case study carried out for the conception of a CPPS (Cyber-physical Production System) to support machine operators with industrial set-up. Our contribution is therefore threefold: first, we describe and discuss the results of an in-depth ethnographic study, carried out under the premises of the grounded design research paradigm, to uncover practices of machine operators to inform design. Second, we introduce a series of design implications drawn from those results. Finally, we demonstrate how those design implications have informed the participatory design activities pursued for the conception of the CPPS in question. In so doing, we advance the state of the art on the design of digital technologies to support people working with industrial set-up and open new research directions on the subject.},
      language = {en},
      booktitle = {Human-{Computer} {Interaction} – {INTERACT} 2021},
      publisher = {Springer International Publishing},
      author = {de Carvalho, Aparecido Fabiano Pinatti and Hoffmann, Sven and Abele, Darwin and Schweitzer, Marcus and Wulf, Volker},
      editor = {Ardito, Carmelo and Lanzilotti, Rosa and Malizia, Alessio and Petrie, Helen and Piccinno, Antonio and Desolda, Giuseppe and Inkpen, Kori},
      year = {2021},
      keywords = {Augmented-reality, Cyber-physical systems, Design case studies, Design implications, Industrial contexts, Practice-centred design, Sensors},
      pages = {678--701},
      }


    • Ludwig, T., Stein, M., Castelli, N. & Hoffmann, S. (2021)Sicherheitskritische Mensch-Maschine-Interaktion bei Industrie 4.0

      IN Reuter, C. (Ed.), Sicherheitskritische Mensch-Computer-Interaktion: Interaktive Technologien und Soziale Medien im Krisen- und Sicherheitsmanagement Wiesbaden doi:10.1007/978-3-658-32795-8_12
      [BibTeX] [Abstract] [Download PDF]

      Komplexe cyberphysische Produktionssysteme bieten die Möglichkeiten der hochproduktiven Herstellung von Fertigungserzeugnissen. Vor dem Hintergrund der steigenden Variantenvielfalt, kleineren Losgrößen und erhöhten Produktkomplexitäten, wird die Fertigungssteuerung und -überwachung solcher (teil-)automatisierten komplexen Produktionen zunehmend unübersichtlich und kann bei Störung oder Ausfällen großen Schaden verursachen.

      @incollection{ludwig_sicherheitskritische_2021,
      address = {Wiesbaden},
      title = {Sicherheitskritische {Mensch}-{Maschine}-{Interaktion} bei {Industrie} 4.0},
      isbn = {978-3-658-32795-8},
      url = {https://doi.org/10.1007/978-3-658-32795-8_12},
      abstract = {Komplexe cyberphysische Produktionssysteme bieten die Möglichkeiten der hochproduktiven Herstellung von Fertigungserzeugnissen. Vor dem Hintergrund der steigenden Variantenvielfalt, kleineren Losgrößen und erhöhten Produktkomplexitäten, wird die Fertigungssteuerung und -überwachung solcher (teil-)automatisierten komplexen Produktionen zunehmend unübersichtlich und kann bei Störung oder Ausfällen großen Schaden verursachen.},
      booktitle = {Sicherheitskritische {Mensch}-{Computer}-{Interaktion}: {Interaktive} {Technologien} und {Soziale} {Medien} im {Krisen}- und {Sicherheitsmanagement}},
      publisher = {Springer Fachmedien Wiesbaden},
      author = {Ludwig, Thomas and Stein, Martin and Castelli, Nico and Hoffmann, Sven},
      editor = {Reuter, Christian},
      year = {2021},
      doi = {10.1007/978-3-658-32795-8_12},
      pages = {253--276},
      }


    • Abele, N. D., Hoffmann, S., De Carvalho, A. F. P., Schweitzer, M., Wulf, V. & Kluth, K. (2021)Knowledge and Expertise Sharing – Designing an AR-Mediated Cyber-Physical Production System for Industrial Set-Up Processes

      Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). Cham, Publisher: Springer International Publishing, Pages: 347–354 doi:10.1007/978-3-030-74608-7_44
      [BibTeX] [Abstract]

      Cyber-Physical Production Systems (CPPS) are receiving a lot of attention in the context of the fourth industrial revolution, especially in terms of complex architectures for data exchange among intelligent machines. However, the present elaboration is rather based on the question of what support such systems can provide for the exchange and appropriation of knowledge-intensive human practices in industrial surroundings. This paper presents the method and conceptual foundations of an Augmented Reality (AR) and sensor technology based CPPS for manual set-up processes on modern production machines. In the present context, both the recording of physical movements and the representation of local knowledge are potentially relevant. The basis is formed by design implications identified in the course of an extensive ethnographic study through the implementation of which a new methodological approach to the capture and transfer of (technical) knowledge embedded in embodied actions could be realized.

      @inproceedings{abele_knowledge_2021,
      address = {Cham},
      series = {Lecture {Notes} in {Networks} and {Systems}},
      title = {Knowledge and {Expertise} {Sharing} – {Designing} an {AR}-{Mediated} {Cyber}-{Physical} {Production} {System} for {Industrial} {Set}-{Up} {Processes}},
      isbn = {978-3-030-74608-7},
      doi = {10.1007/978-3-030-74608-7_44},
      abstract = {Cyber-Physical Production Systems (CPPS) are receiving a lot of attention in the context of the fourth industrial revolution, especially in terms of complex architectures for data exchange among intelligent machines. However, the present elaboration is rather based on the question of what support such systems can provide for the exchange and appropriation of knowledge-intensive human practices in industrial surroundings. This paper presents the method and conceptual foundations of an Augmented Reality (AR) and sensor technology based CPPS for manual set-up processes on modern production machines. In the present context, both the recording of physical movements and the representation of local knowledge are potentially relevant. The basis is formed by design implications identified in the course of an extensive ethnographic study through the implementation of which a new methodological approach to the capture and transfer of (technical) knowledge embedded in embodied actions could be realized.},
      language = {en},
      booktitle = {Proceedings of the 21st {Congress} of the {International} {Ergonomics} {Association} ({IEA} 2021)},
      publisher = {Springer International Publishing},
      author = {Abele, Nils Darwin and Hoffmann, Sven and De Carvalho, Aparecido Fabiano Pinatti and Schweitzer, Marcus and Wulf, Volker and Kluth, Karsten},
      editor = {Black, Nancy L. and Neumann, W. Patrick and Noy, Ian},
      year = {2021},
      keywords = {Human-computer interaction, Design case study, Augmented reality, Cyber-physical production systems, Industrial set-up, Knowledge and expertise sharing},
      pages = {347--354},
      }

    2020


    • Ludwig, T., Hoffmann, S., Jasche, F. & Ruhrmann, M. (2020)VacuumCleanAR: augmented reality-based self-explanatory physical artifacts

      Proceedings of the Conference on Mensch und Computer. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 291–302 doi:10.1145/3404983.3405526
      [BibTeX] [Abstract] [Download PDF]

      Consumer purchase decisions are not only determined by the quality or price of a product. Customers also want an innovative product that they can identify with in something more than just a functional way. Much of this appeal is often bound up with the innovative character of a product. However, the global market and the huge variety of products available make it challenging for companies to help customers understand the particular innovations in their products, especially in terms of technical “hidden” innovations. Augmented reality (AR) offers interactive experiences in real-world environments through digitalized information. In this paper, we present a design case study about an AR-based approach to reveal the hidden innovations to potential users in an engaging and “emotional” way by using the example of a vacuum cleaner. Based on an empirical study, we designed and implemented the fully functional HoloLens application VacuumCleanAR, which allows users to discover the hidden innovations of a vacuum cleaner in a less functional and more consumer-centric way. This reveals the scope for augmenting other physical artifacts in a similar fashion.

      @inproceedings{ludwig_vacuumcleanar_2020,
      address = {New York, NY, USA},
      series = {{MuC} '20},
      title = {{VacuumCleanAR}: augmented reality-based self-explanatory physical artifacts},
      isbn = {978-1-4503-7540-5},
      shorttitle = {{VacuumCleanAR}},
      url = {https://doi.org/10.1145/3404983.3405526},
      doi = {10.1145/3404983.3405526},
      abstract = {Consumer purchase decisions are not only determined by the quality or price of a product. Customers also want an innovative product that they can identify with in something more than just a functional way. Much of this appeal is often bound up with the innovative character of a product. However, the global market and the huge variety of products available make it challenging for companies to help customers understand the particular innovations in their products, especially in terms of technical "hidden" innovations. Augmented reality (AR) offers interactive experiences in real-world environments through digitalized information. In this paper, we present a design case study about an AR-based approach to reveal the hidden innovations to potential users in an engaging and "emotional" way by using the example of a vacuum cleaner. Based on an empirical study, we designed and implemented the fully functional HoloLens application VacuumCleanAR, which allows users to discover the hidden innovations of a vacuum cleaner in a less functional and more consumer-centric way. This reveals the scope for augmenting other physical artifacts in a similar fashion.},
      urldate = {2021-04-15},
      booktitle = {Proceedings of the {Conference} on {Mensch} und {Computer}},
      publisher = {Association for Computing Machinery},
      author = {Ludwig, Thomas and Hoffmann, Sven and Jasche, Florian and Ruhrmann, Marius},
      month = sep,
      year = {2020},
      keywords = {augmented reality, design case study, hololens, marketing},
      pages = {291--302},
      }

    2019


    • Hoffmann, S., de Carvalho, A. F. P., Abele, D., Schweitzer, M., Tolmie, P. & Wulf, V. (2019)Cyber-Physical Systems for Knowledge and Expertise Sharing in Manufacturing Contexts: Towards a Model Enabling Design

      IN Computer Supported Cooperative Work (CSCW), Vol. 28, Pages: 469–509 doi:10.1007/s10606-019-09355-y
      [BibTeX] [Abstract] [Download PDF]

      Cyber-physical systems (CPS) are currently attracting a great deal of attention as a part of the discourse surrounding the fourth industrial revolution. Thus far, the chief focus has been upon complex architectures for supply chain-wide data exchange between intelligent machines. Here, however, we take a very different tack by examining the support CPS may offer for the exchange and acquisition of knowledge-intensive human practices in the context of manual set-up processes on modern production machines. The paper offers contributions to both CSCW and the ongoing development of CPS in three ways. Firstly, it presents a detailed empirical study of knowledge and expertise sharing practices in a production environment. Secondly, the results of this study are used as the basis of an over-arching model that was developed with the express purpose of facilitating design. Finally, CPS-based technical possibilities are matched to the practice-relevant knowledge and expertise sharing requirements captured within the model.

      @article{hoffmann_cyber-physical_2019,
      title = {Cyber-{Physical} {Systems} for {Knowledge} and {Expertise} {Sharing} in {Manufacturing} {Contexts}: {Towards} a {Model} {Enabling} {Design}},
      volume = {28},
      issn = {1573-7551},
      shorttitle = {Cyber-{Physical} {Systems} for {Knowledge} and {Expertise} {Sharing} in {Manufacturing} {Contexts}},
      url = {https://doi.org/10.1007/s10606-019-09355-y},
      doi = {10.1007/s10606-019-09355-y},
      abstract = {Cyber-physical systems (CPS) are currently attracting a great deal of attention as a part of the discourse surrounding the fourth industrial revolution. Thus far, the chief focus has been upon complex architectures for supply chain-wide data exchange between intelligent machines. Here, however, we take a very different tack by examining the support CPS may offer for the exchange and acquisition of knowledge-intensive human practices in the context of manual set-up processes on modern production machines. The paper offers contributions to both CSCW and the ongoing development of CPS in three ways. Firstly, it presents a detailed empirical study of knowledge and expertise sharing practices in a production environment. Secondly, the results of this study are used as the basis of an over-arching model that was developed with the express purpose of facilitating design. Finally, CPS-based technical possibilities are matched to the practice-relevant knowledge and expertise sharing requirements captured within the model.},
      language = {en},
      number = {3},
      urldate = {2021-04-16},
      journal = {Computer Supported Cooperative Work (CSCW)},
      author = {Hoffmann, Sven and de Carvalho, Aparecido Fabiano Pinatti and Abele, Darwin and Schweitzer, Marcus and Tolmie, Peter and Wulf, Volker},
      month = jun,
      year = {2019},
      pages = {469--509},
      }

    2018


    • de Carvalho, A. F. P., Hoffmann, S., Abele, D., Schweitzer, M., Tolmie, P., Randall, D. & Wulf, V. (2018)Of Embodied Action and Sensors: Knowledge and Expertise Sharing in Industrial Set-Up

      IN Computer Supported Cooperative Work (CSCW), Vol. 27, Pages: 875–916 doi:10.1007/s10606-018-9320-6
      [BibTeX] [Abstract] [Download PDF]

      Knowledge and expertise sharing has long been an important theme in CSCW and, importantly, one that has frequently challenged a prevailing view concerning knowledge management. This critique focused, initially, on the practical problems associated with issues of Organisational Memory (OM), and in particular the difficulties inherent in an oversimplified ‘repository’ model. Attention then turned to issues of contextuality and communication for expertise sharing, drawing on concepts such as communities of practice and social capital to understand, again, the sharing of knowledge and expertise in practice. Here, we report on how particular kinds of ‘embodied action’ can be identified in relation to the potential of cyber-physical infrastructures for knowledge sharing in an industrial context. We argue that, in a complex industrial domain, both the recording of physical movement – ‘showing’ – and the representation of local knowledge – ‘telling’ – are potentially relevant. Our proposal is that the evolution of cyber-physical infrastructures now offers a way of changing some early assumptions about how knowledge might be captured and displayed. We argue that we are entering a third generation of knowledge and expertise sharing research, where the use of augmented reality (AR) and sensor technology will result in significant new methodological innovations, including the capture and sharing of knowledge, embedded in embodied action.

      @article{de_carvalho_embodied_2018,
      title = {Of {Embodied} {Action} and {Sensors}: {Knowledge} and {Expertise} {Sharing} in {Industrial} {Set}-{Up}},
      volume = {27},
      issn = {1573-7551},
      shorttitle = {Of {Embodied} {Action} and {Sensors}},
      url = {https://doi.org/10.1007/s10606-018-9320-6},
      doi = {10.1007/s10606-018-9320-6},
      abstract = {Knowledge and expertise sharing has long been an important theme in CSCW and, importantly, one that has frequently challenged a prevailing view concerning knowledge management. This critique focused, initially, on the practical problems associated with issues of Organisational Memory (OM), and in particular the difficulties inherent in an oversimplified ‘repository’ model. Attention then turned to issues of contextuality and communication for expertise sharing, drawing on concepts such as communities of practice and social capital to understand, again, the sharing of knowledge and expertise in practice. Here, we report on how particular kinds of ‘embodied action’ can be identified in relation to the potential of cyber-physical infrastructures for knowledge sharing in an industrial context. We argue that, in a complex industrial domain, both the recording of physical movement – ‘showing’ – and the representation of local knowledge – ‘telling’ – are potentially relevant. Our proposal is that the evolution of cyber-physical infrastructures now offers a way of changing some early assumptions about how knowledge might be captured and displayed. We argue that we are entering a third generation of knowledge and expertise sharing research, where the use of augmented reality (AR) and sensor technology will result in significant new methodological innovations, including the capture and sharing of knowledge, embedded in embodied action.},
      language = {en},
      number = {3},
      urldate = {2021-04-16},
      journal = {Computer Supported Cooperative Work (CSCW)},
      author = {de Carvalho, Aparecido Fabiano Pinatti and Hoffmann, Sven and Abele, Darwin and Schweitzer, Marcus and Tolmie, Peter and Randall, David and Wulf, Volker},
      month = dec,
      year = {2018},
      pages = {875--916},
      }


    • Ludwig, T. & Hoffmann, S. (2018)Erste-Hilfe-Brille: Augmented Reality zur Unterstützung von Ersthelfern in Notsituationen

      IN Mensch und Computer 2018-Workshopband
      [BibTeX]

      @article{ludwig_erste-hilfe-brille_2018,
      title = {Erste-{Hilfe}-{Brille}: {Augmented} {Reality} zur {Unterstützung} von {Ersthelfern} in {Notsituationen}},
      journal = {Mensch und Computer 2018-Workshopband},
      author = {Ludwig, Thomas and Hoffmann, Sven},
      year = {2018},
      annote = {Publisher: Gesellschaft für Informatik eV},
      }

    2017


    • Baumann, F., Ludwig, T., Abele., D., Hoffmann, S. & Roller, D. (2017)Model-Data Streaming for Additive Manufacturing – Securing Intellectual Property

      IN Smart and Sustainable Manufacturing Systems, Pages: (accepted)
      [BibTeX]

      @article{baumann_model-data_2017,
      title = {Model-{Data} {Streaming} for {Additive} {Manufacturing} - {Securing} {Intellectual} {Property}},
      journal = {Smart and Sustainable Manufacturing Systems},
      author = {Baumann, Felix and Ludwig, Thomas and Abele., Darwin and Hoffmann, Sven and Roller, Dieter},
      year = {2017},
      keywords = {CSCW},
      pages = {(accepted)},
      }

    2016


    • Abele, N. D., Hoffmann, S., Kuhnhen, C., Ludwig, T., Schäfer, W., Schweitzer, M. & Wulf, V. (2016)Supporting the Set-up Processes by Cyber Elements based on the Example of Tube Bending

      Informatik 2016 – Informatik von Menschen für Menschen, GI-Edition-Lecture Notes in Informatics (LNI). Klagenfurt
      [BibTeX] [Download PDF]

      @inproceedings{abele_supporting_2016,
      address = {Klagenfurt},
      title = {Supporting the {Set}-up {Processes} by {Cyber} {Elements} based on the {Example} of {Tube} {Bending}},
      url = {http://subs.emis.de/LNI/Proceedings/Proceedings259/1627.pdf},
      booktitle = {Informatik 2016 – {Informatik} von {Menschen} für {Menschen}, {GI}-{Edition}-{Lecture} {Notes} in {Informatics} ({LNI})},
      author = {Abele, Nils Darwin and Hoffmann, Sven and Kuhnhen, Christopher and Ludwig, Thomas and Schäfer, Walter and Schweitzer, Marcus and Wulf, Volker},
      year = {2016},
      keywords = {CSCW},
      }

    More information are only available in German. Please see:

    Sven Hoffmann M.Sc.