Abstract
The German manufacturing industry has been carrying out new developments towards the next industrial revolution, focusing on smart manufacturing environments. Our work emphasizes human-centered control rooms in the context of production plants. Increased automation does not have to come with less human control. Therefore, we report on multimodal collaborative interaction techniques to augment industrial control rooms. In particular, we include mobile workers who use the control room while being in the production hall using tablets or specifically mixed reality glasses. Collaborative annotation dashboards support discussions and a shared understanding among analysts. Manufacturing-related data can be integrated into business analytics environments so that holistic analyses can be performed. Multimodal interaction techniques can support effective interaction with the control room based on the users’ preferences. Immersive experience through mixed reality-based three-dimensional visualizations and interaction possibilities support users in obtaining a clear understanding of the underlying data.
Funder
Federal Ministry for Economic Affairs and Energy
Subject
Computer Networks and Communications
Reference35 articles.
1. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Securing the Future of German Manufacturing Industry;Kagermann,2013
2. Back to tangibility: A post-WIMP perspective on control room design;Müller;Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces,2014
3. Multimodal user interface for traffic incident management in control room
4. Experience of setting up of Control room for COVID-19 at NCDC, New Delhi;Kaushal;J. Fam. Med. Prim. Care,2021
5. Hands-on the process control: Users preferences and associations on hand movements;Koskinen;Proceedings of the CHI’08 Extended Abstracts on Human Factors in Computing Systems,2008
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Motivational Exploration of Explanations in Industrial Analytics*;2023 IEEE 21st International Conference on Industrial Informatics (INDIN);2023-07-18