@inproceedings{5846, abstract = {{Artificial Intelligence (AI) is continuously moving into our surroundings. In its various forms, it has the potential to disrupt most aspects of human life. Yet, the discourse around AI has long been by experts and for experts. In this paper, we argue for a participatory approach towards designing human-AI interactions. We outline how we used design methodology to organise an interdisciplinary workshop with a diverse group of students – a workbook sprint with 45 participants from four different programs and 13 countries – to develop speculative design futures in five focus areas. We then provide insights into our findings and share our lessons learned regarding our workshop topic – AI and Space – our process, and our research. We learned that involving non-experts in complex technical discourses – such as AI – through the structural rigour of design methodology is a viable approach. We then conclude by laying out how others might use our findings and initiate their own workbook sprint to explore complex technologies in a human-centred way.}}, author = {{Mucha, Henrik and Mevißen, Dennis and Robert, Sebastian and Jacobi, Ricarda and Meyer, Kirsten and Heusler, Winfried and Arztmann, Daniel}}, booktitle = {{Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems}}, isbn = {{9781450368193}}, location = {{Honolulu, HI, USA}}, publisher = {{Association for Computing Machinery}}, title = {{{Co-Design Futures for AI and Space: A Workbook Sprint}}}, doi = {{10.1145/3334480.3375203}}, year = {{2020}}, } @inbook{4178, abstract = {{Im Folgenden werden die Pilotprojekte des ReSerW-Projekts vorgestellt. Diese Pilotprojekte sollen die Fähigkeit der in den Querschnittsprojekten (siehe Abb. 4.1) erarbeiteten Methoden nachweisen und die Industrietauglichkeit der Lösungen sicherstellen. Aus diesem Grund fließen die Ergebnisse jedes einzelnen Querschnittsprojekts in die vier Pilotprojekte ein.}}, author = {{Wöhler, Mathias and Blum, Alexandra and Bringewatt, Wilhelm and Büttner, Sebastian and Dellnitz, Michael and Gräler, Manuel and Just, Viktor and Kummert, Franz and Mucha, Henrik and Peitz, Sebastian and Röcker, Carsten and Sielermann, Jürgen and Tschirner, Christian and Wittrowski, Jens}}, booktitle = {{ Ressourceneffiziente Selbstoptimierende Wäscherei}}, editor = {{Trächtler, Ansgar}}, isbn = {{978-3-662-56389-2}}, issn = {{2523-3637}}, pages = {{105--158}}, publisher = {{Springer}}, title = {{{Pilotprojekte}}}, doi = {{10.1007/978-3-662-56390-8_4}}, year = {{2018}}, } @inbook{4179, abstract = {{Für die Weiterentwicklung der klassischen Wäschereitechnik zu intelligenten technischen Systemen ist ein strukturiertes Vorgehen unerlässlich. In dem Projekt wurden wissenschaftliche Methoden genutzt und auf die Wäschereitechnik adaptiert, um das Ziel einer ressourcenschonenden Wäscherei zu erreichen. Neben der modellbasierten Entwurfstechnik für intelligente Systeme wurden ebenfalls Methoden für die Bildverarbeitung, mathematische Optimierung und Usability von Maschinen in dem Projekt verwendet. Diese werden in den folgenden Abschnitten näher vorgestellt.}}, author = {{Kummert, Franz and Albers , Alexander A. and Bremer, Christian and Büttner, Sebastian and Dellnitz, Michael and Dumitrescu, Roman and Gräler, Manuel and Just, Viktor and Mucha, Henrik and Peitz, Sebastian and Röcker, Carsten and Trächtler, Ansgar and Tschirner, Christian and Wang, Shuo and Wittrowski, Jens}}, booktitle = {{Ressourceneffiziente Selbstoptimierende Wäscherei}}, editor = {{Trächtler, Ansgar}}, isbn = {{978-3-662-56389-2}}, issn = {{2523-3637}}, pages = {{41--104}}, publisher = {{Springer}}, title = {{{Eingesetzte wissenschaftliche Methoden}}}, year = {{2018}}, } @article{4317, abstract = {{Digital products and services are commonplace in our personal lives where software and its algorithms provide assistance and amenities. However, interactive systems within industrial settings have yet to catch up with consumer products, especially with regard to the quality of interaction and user experience. With the rise of automation and data exchange on massive scales, the role of human work is challenged and the importance of cooperation emphasized. New concepts of smart factories in which machines and software are doing parts of the work tasks emerge, drastically altering the nature of work in industrial settings from manual labor to increasingly complex tasks. HCI and especially CSCW offer concepts, technical tools and methods to cope with this disruptive shift towards an Industrial Internet of Things (IIoT). Networked assistive systems, for instance, are capable of individually addressing and satisfying the diverse needs of a heterogeneous workforce. We propose this workshop to discuss new perspectives on HCI and CSCW in industrial contexts with regard to the emerging IIoT. The goal of the workshop is to explore the design space of IIoT applications, its implications on cooperative work and to formulate new research opportunities to current challenges.}}, author = {{Mucha, Henrik and Röcker, Carsten and Ludwig, Mark and Stein, Benno and Robert, Sebastian and Galla, Lukas and Hill, Martin and Wulf, Volker and Ogonowski, Corinna}}, isbn = {{978-1-4503-6018-0}}, journal = {{CSCW '18: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing}}, keywords = {{Social and professional topics, Professional topics, Computing and business, Computer supported cooperative work}}, location = {{Jersey City, NJ USA}}, pages = {{393–400}}, publisher = {{ACM}}, title = {{{The Industrial Internet of Things: New Perspectives on HCI and CSCW within Industry Settings}}}, doi = {{10.1145/3272973.3273009}}, year = {{2018}}, } @inproceedings{4251, abstract = {{Im Kontext von Industrie 4.0 nimmt die Gestaltung der Mensch-Maschine-Schnittstelle eine herausragende Stellung ein. Folglich müssen neue technologische und menschzentrierte Ansätze zur Unterstützung von Menschen in Smart Factories entwickelt und erforscht werden. In Lemgo wurde zu Forschungs- und Demonstrationszwecken die SmartFactoryOWL errichtet. In diesem Beitrag geben wir einen Überblick über die SmartFactoryOWL und ihren Beitrag zur hiesigen HCI-Forschung. Wir zeigen, wie diese Einrichtung unsere Forschung an neuen Systemen, wie z. B. Systemen zur Informations- und Wissensvernetzung in Smart Factories beiträgt. Weiterhin präsentieren wir in diesem Beitrag AR-Cube, eine durchgängige Lösung für eine Smart-Factory-Lernumgebung, welche die Remote-Interaktion zwischen Produktionssystemen innerhalb und außerhalb der SmartFactoryOWL ermöglicht. Mit der Workshop-Teilnahme wollen wir unsere hier skizzierten Konzepte und Visionen gerne in der HCI-Community diskutieren und die Grundlage für zukünftige Weiterentwicklungen legen.}}, author = {{Büttner, Sebastian and Mucha, Henrik and Robert, Sebastian and Hellweg, Fabian and Röcker, Carsten}}, booktitle = {{4. Workshop zu Smart Factories: Mitarbeiter-zentrierte Informationssysteme für die Zusammenarbeit der Zukunft, Mensch und Computer 2017}}, location = {{Regensburg}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{HCI in der SmartFactoryOWL – Angewandte Forschung Entwicklung}}}, doi = {{10.18420/muc2017-ws04-0389}}, year = {{2017}}, } @inproceedings{4255, abstract = {{Increasingly, production processes are enabled and controlled by Information Technology (IT), a development being also referred to as “Industry 4.0”. IT thereby contributes to flexible and adaptive production processes, and in this sense factories become “smart factories”. In line with this, IT also more and more supports human workers via various assistance systems. This support aims to both support workers to better execute their tasks and to reduce the effort and time required when working. However, due to the large spectrum of assistance systems, it is hard to acquire an overview and to select an adequate system for a smart factory based on meaningful criteria. We therefore synthesize a set of comparison criteria into a consistent framework and demonstrate the application of our framework by classifying three examples.}}, author = {{Fellmann, Michael and Robert, Sebastian and Büttner, Sebastian and Mucha, Henrik and Röcker, Carsten}}, booktitle = {{ Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings}}, editor = {{Holzinger, Andreas}}, isbn = {{978-3-319-66807-9}}, keywords = {{Assistance systems, Smart factory, Production processes}}, location = {{Reggio, Italy}}, pages = {{59--68}}, publisher = {{Springer}}, title = {{{Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories}}}, doi = {{10.1007/978-3-319-66808-6_5}}, volume = {{10410}}, year = {{2017}}, } @inproceedings{4257, abstract = {{The selection of suitable display technologies for industrial augmented reality (AR) applications is becoming increasingly relevant as such applications move from the proof-of-concept to the application stage. To support project managers, designers and developers in the critical selection process we have developed a checklist of important aspects and related evaluation hints that helps to speed up and improve the selection process. The checklist presented in this paper was designed to be useful for both researchers and practitioners. It combines pertinent information from relevant standards like ISO 9241-210 with results from current research literature and experience from several AR projects in industrial contexts. It can be applied both in collaboration with AR experts, where it helps to prepare relevant information for the collaboration and thus streamlines the process, or stand-alone, as a guideline for the evaluation of different options by a design team. }}, author = {{Paelke, Volker and Büttner, Sebastian and Mucha, Henrik and Röcker, Carsten}}, booktitle = {{Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future.}}, editor = {{Trzcielinski, Stefan}}, isbn = {{978-3-319-60473-2}}, issn = {{2194-5365}}, keywords = {{Augmented reality, Displays, Evaluation, Checklist, Context of use, Human-Computer interaction}}, location = {{Los Angeles, California, USA}}, pages = {{225--234}}, publisher = {{Springer}}, title = {{{A Checklist-Based Approach for Evaluating Augmented Reality Displays in Industrial Applications}}}, doi = {{10.1007/978-3-319-60474-9_21}}, volume = {{606}}, year = {{2017}}, } @inproceedings{4258, abstract = {{Research on how to take advantage of Augmented Reality and Virtual Reality applications and technologies in the domain of manufacturing has brought forward a great number of concepts, prototypes, and working systems. Although comprehensive surveys have taken account of the state of the art, the design space of industrial augmented and virtual reality keeps diversifying. We propose a visual approach towards assessing this space and present an interactive, community-driven tool which supports interested researchers and practitioners in gaining an overview of the aforementioned design space. Using such a framework we collected and classified relevant publications in terms of application areas and technology platforms. This tool shall facilitate initial research activities as well as the identification of research opportunities. Thus, we lay the groundwork, forthcoming workshops and discussions shall address the refinement.}}, author = {{Büttner, Sebastian and Mucha, Henrik and Funk, Markus and Kosch, Thomas and Aehnelt, Mario and Robert, Sebastian and Röcker, Carsten}}, booktitle = {{10th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '17) }}, keywords = {{Applied computing, Operations research, Operations research, Human-centered computing, Human computer interaction (HCI), Interaction paradigms}}, location = {{Rhodes, Greece}}, pages = {{433440}}, publisher = {{ACM}}, title = {{{The Design Space of Augmented and Virtual Reality Applications for Assistive Environments in Manufacturing: A Visual Approach}}}, doi = {{10.1145/3056540.3076193}}, year = {{2017}}, } @inproceedings{4299, abstract = {{With the advances of technology, intelligent assistive systems that adapt to individual humans will become feasible. However, application areas of such systems are rarely discussed within the Industry 4.0 community. Most assistive systems that have been presented have been developed for specific task, such as assembly support or warehouse picking, but there might be a huge uncovered design space to be explored. With this work, we want to step back from existing systems and analyze the design opportunities of assistive systems especially for small and medium-size enterprises (SME). To achieve this goal we conducted a study in four SME, consisting of observations and interviews. Here we present our findings about the potential future application areas of human-centered assistive systems.}}, author = {{Mucha, Henrik and Büttner, Sebastian and Röcker, Carsten}}, booktitle = {{Human-Computer Interaction – Perspectives on Industry 4.0. Workshop at i-KNOW 2016 }}, keywords = {{Industry 4.0, Assistive Systems, Small and Medium-Sized Enterprises, SME, Human-Centered Design, Human-Computer Interaction for Industry}}, location = {{Graz, Austria}}, publisher = {{TU}}, title = {{{Application Areas for Human-Centered Assistive Systems}}}, year = {{2016}}, }