Today we are facing a new era of industrial automation and interconnection which drives the transition of human workplaces. New technologies but also novel business processes lead to a shift of worker related requirements at the data-intensive manufacturing workplace on the shop floor or in knowledge-intensive maintenance field operations. HCI research is already dealing with these new challenges by developing and providing practical assistance solutions which bring together again the power of industrial automation with the flexibility of human intelligence.
This workshop aims to pick up and present examples of best practice and lessons learned from researching and rolling out novel methods and technologies for worker-focused assistance under industrial conditions. The topics of interest here include, but are not limited to:
- Cognitive support and cognitive automation for human sense-making and decision making processes
- Visual assistance with augmented or virtual reality for complex data or knowledge-intensive work tasks
- Smart and situated learning for a professional and self-directed work life on the shop floor
- Data usability for enabling the worker to deal intuitively with complex and heterogeneous data
- Division of labour between humans and machines in Industry 4.0: What can computers do? What do humans want to do? What are unique capabilities of humans and machines?
- Mobile assistance to support humans on the shop floor. Potentials, challenges and visions for flexible, mobile assistance systems
- Experiences of workers with novel technologies in smart industrial environments
Both scientists as well as industrial participants are invited to contribute to the workshop with their own work related to the mentioned topics. We accept the following types of submissions:
Scientific papers with 4-8 pages. Selected papers will be published as part of the proceedings of i-KNOW in the ACM Digital Library, otherwise they will be published in the CEUR Workshop proceedings
Industrial best-practice examples (description not longer than 2 pages).
Scientific submissions undergo a peer review process to assure high quality content being presented. Industrial best-practice examples are curated by the workshop editors. Accepted contributions from scientific and industrial participants are given a sufficient time slot to present the major findings and lessons learned from their work.
If technically possible, presenters are cordially invited to bring with them hands-on experiences for the workshop.
The workshop is intended to be a means for bringing together scientific excellence from multiple fields and industrial demands in a vivid dialog. Therefore, it encourages scientists in the field of manufacturing, production management, computer science and psychology to participate with their scientific contribution and to provide interesting stimuli as well as research insights. Vice versa it focuses on the industrial audience which searches for answers and partnerships in todays’ discussion of emerging Industry 4.0 terms and claims.
With the workshop, we are aiming at the growing demand of exchanging not ideas but real experiences (including questions arising from practice) on how Industry 4.0 works best without leaving the human worker behind. Here, we want to discuss with our scientific and industrial audience both sides of the story: the abilities but also the borders and limitations of today’s solutions.
The best accepted workshop contributions will be published as additional conference proceedings in the ACM digital library.
All accepted contributions will be listed on a workshop website, and accepted papers will be collected in CEUR WS Proceedings if the authors agree. Selected contribution will be invited to submit an extended version to a planned special issue in the Interaction Design and Architecture(s) Journal (IxD&A) in 2018 (pending acceptance).
- Mario Aehnelt (Fraunhofer IGD Rostock, Germany)
- Ralf Klamma (RWTH Aachen University, Germany)
- Tobias Ley (Tallin University, Estonia)
- Ronald Maier (University of Innsbruck, Austria)
- Thomas Meneweger (Center for Human-Computer Interaction, University of Salzburg, Austria)
- Viktoria Pammer-Schindler (Graz University of Technology, Know-Center Graz, Austria)
- Manfred Tscheligi (Center for Human-Computer Interaction, University of Salzburg, Austria)
- Daniela Wurhofer (Center for Human-Computer Interaction, University of Salzburg, Austria)
- Carla Barreiro (Know-Center Graz, Austria)
- Ilona Buchem (BHT, Germany)
- Eva Eggeling (Fraunhofer Austria, Austria)
- Angela Fessl (Know-Center Graz, Austria)
- Mikhail Fominykh (Europlan UK Ltd, UK)
- Verena Fuchsberger (University of Salzburg, Austria)
- Markus Funk (Siemens AG, US)
- Christoph Igel (CeLTech)
- Milos Kravcik (DFKI, Germany)
- Granit Luzhnica (Know-Center Graz, Austria)
- Denys J.C. Matthies (Fraunhofer IGD, Germany)
- Leif Oppermann (Fraunhofer FIT, Germany)
- Wolfgang Prinz (Fraunhofer FIT, Germany)
- Jörg Simon (Know-Center Graz, Austria)
- Carsten Ullrich (DFKI, Germany)
- Fridolin Wild (Oxford Brookes University, UK)
- Call for Papers: May, 2nd, 2017
- Deadline Workshop Papers: July 3rd, 2017
- Accept/Reject Notification of Workshop Papers: July 17, 2017
- Camera ready version of Workshop Papers: August 30, 2017
- i-KNOW 2017 Conference in Graz: October 11-12, 2017
Questions regarding the workshop? Don't hesitate to contact us: firstname.lastname@example.org!