The Mensch und Computer 2017 (MuC17), the largest annual German-speaking conference for Human-Computer/Machine-Interaction, will take place in Regensburg from 10 to 13 September. FACTS4WORKERS has the opportunity to host a workshop titled “Smart Factories: Mitarbeiter-zentrierte Informationssysteme für die Zusammenarbeit der Zukunft” (translated: Smart Factories: User-centred information systems for future collaboration) for the fourth consecutive year, this year in cooperation with the ECSEL project SemI40 (Power Semiconductor and Electronics Manufacturing 4.0).
Several researchers got attracted by the public Call for Paper and handed in their publications. In addition to many others, two contributions will present the latest results and insights from our project:
The first paper presents the evaluation strategy and the first results we obtained when we used the FACTS4WORKERS evaluation framework. The purpose of the framework is to prove whether the project interventions achieve the expected results, which are: improving workers’ job satisfaction, increasing innovation and problem solving skills as well as enhancing productivity. Because of the diversity of the industrial partners and of the workplaces where the interventions are going to be implemented, the different languages, legal and cultural environments the framework was conceived as general as possible to be adapted to any particular case. We present here one example for using the framework, the first results of these measurements and the feedback the evaluation provides both for supporting the decisions about the interventions and about the framework itself.
Evaluating worker-centered smart interventions on the shop floor; Marlene Schafler, Lea Hannola, Francisco José Lacueva-Pérez, Matjaž Milfelner, Melanie Steinhüser, Miguel Angel Gracia
The second paper deals with seamless learning in the production. Production SMEs in the automotive value chain/network are increasingly confronted with a serious number of specific requirements and regulations. Compared to large enterprises especially blue-collar workers have to deal with shared responsibilities at the shop floor in order to fulfil the different tasks they have to perform. There is a great need of an overall on-the-job knowledge, available in the right time at the right place. In this case workers need seamless learning in real-life situations (“in-situ”, pervasive learning), a field which is still emerging, especially in settings of production SMEs. This industrial challenge gives rise to the following research questions: How need such learning services to be designed in order to achieve a high acceptance rate by learners and/or trainers? What are multimodal input and output interactions as well as interfaces suitable for HCI concepts for learning? How can contextual data be applied for high efficiency and efficacy of context-aware pervasive learning? Therefore we examine a context-of-use scenario in a metal forming SME for the purpose of developing a mobile pervasive learning system.
Seamless Learning in the Production; Michael Spitzer, Marlene Schafler, Matjaž Milfelner
Besides these two contributions, the following will be also presented:
Informationsmodellierung zur Beschreibung manueller Tätigkeiten an Handarbeitsplätzen; Patrick Bertram, Max Birtel, Fabian Quint, Martin Ruskowski
Virtuelle Benutzungsschnittstellen auf Basis semantischer Modelle zur vereinfachten Anlageninteraktion; Max Birtel, Fabian Quint, Martin Ruskowski
HCI in der SmartFactoryOWL –Angewandte Forschung & Entwicklung; Sebastian Büttner, Henrik Mucha, Sebastian Robert, Fabian Hellweg
Multimodale Interaktion mit HMIs in der Smart Factory; Andreas Gödl, Peter Brandl
Multi-Loop Feedback Hierarchy Involving Human Workers in Manufacturing Processes; Heimo Gursch, David Cemernek, Roman Kern
Menschzentriertes Informationstool zur innerbetrieblichen Vernetzung; Rainer Müller, Matthias Vette M. Eng., Leenhard Hörauf, Christoph Speicher, Dirk Burkhard
Eine Vorgehensweise zur Unterstützung der Einführung von Industrie-4.0-Technologien; Manfred Rosenberger, Alexander Stocker
Ein hybrider Ansatz zur Einteilung der Mitarbeiter in der Smart Factory; André Horst Lippok, Clemens Schönherr
Visual Analytics Dashboard for Exogenous Risk Management and Logistical and Strategic Planning of Supply Chains for Smart Factories; Markus Streibl, Christian Edelsbrunner, Markus Frühwirth, Peter Göri, Richard Liebmann, Dominik Nehl, Stefan Weigl, Selver Softic
Von der digitalen Transformation der Produktion; Melanie Steinhüser, Peter Heinrich, Alexander Richter
Industrie 4.0 – MaRCo – Intelligente Instandhaltung; Ullrich Trommler, Sebastian Horbach, Tim Möckel
All papers will be presented at the workshop and published within the Mensch und Computer 2017 workshop proceedings. Additionally, presenters will discuss related topics in an expert podium.
We hope to see you there.