human machine interaction

Human-Centered Design of Hybrid Cyber-Physical Production Systems – Use of Human Autonomy Teaming as a Future Way of Working

Human-Centered Design of Hybrid Cyber-Physical Production Systems – Use of Human Autonomy Teaming as a Future Way of Working

Many production processes are changing towards hybrid CPPS, in which humans work together with intelligent as well as automated or autonomously acting systems. This enables economic advantages through more efficient processes, error reduction, and quality improvements. It further contributes to a sustainable production, which preserves resources and enhances operators' well-being. To achieve these advantages, an adequate system design is required. Here, various design approaches are available, such as the creation of active involvement of people and adequate situational awareness, and the consideration of both operators and automation as equal and independent actors. But how do they affect its performance and the operators in detail to achieve both economic and human-centered goals? We present the results of a first literature review on the interaction of humans and autonomous systems in production systems and the associated allocation of work (Human Autonomy Teaming, HAT) and open ...
Industry 4.0 Science | 2022 | | DOI 10.30844/WGAB_2022_6
Artificial Intelligence and Future of Work

Artificial Intelligence and Future of Work

Changes and Possible Approaches
Andreas Heindl, Alexander Mihatsch
Artificial intelligence (AI) is already an important part of business models and processes of many companies. In the future, AI systems will pro- foundly change our working environment. AI systems can develop completely new potential for companies in a wide variety of sectors and domains - especially in industry. Existing busi- ness models can be optimized along the value chain by optimizing production flows and processes or avoiding production downtimes with predictive maintenance. At the same time, AI systems can enable completely new business models and thus radically change existing mar- ket structures through new players. The AI economy of tomorrow will be more individual, more precise and more sustainable: Competitive value creation without AI will not be possible in many areas of industry.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 10-14
Industrial Maintenance via Remote Technologies

Industrial Maintenance via Remote Technologies

An Overview of the Current Use of Technologies in Practice
Katrin Wieczorek, Javad Ghofrani, Laura Seiffert, Robert Pampuch, Dirk Reichelt
The level of networking and complexity in intelligent manufacturing is constantly increasing. As a result, the demands on employees are growing, especially due to changing work tasks. In addition, the existing lack of skilled workers leads to bottlenecks. The use of remote technologies opens up new opportunities for collaboration, especially in maintenance. Considering the challenges of industrial maintenance, to what extent can remote technologies be used to efficiently meet these demands? This article provides an overview of the remote technologies currently used and discussed in practice and research. In addition, it shows which prerequisites must be created for an effective application of the technologies.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 59-64
Control of Adaptive Systems Using a Digital Twin

Control of Adaptive Systems Using a Digital Twin

Human-machine interaction during the product life cycle with the example of container unloading
Lennart Rolfs, Nils Hoppe, Christoph Petzoldt, Jasper Wilhelm, Thies Beinke, Michael Freitag ORCID Icon
Due to the possibility of operator intervention, semi-autonomous systems allow for a better handling of complexity than fully autonomous systems. The use of a digital twin provides a novel interface for interaction with such systems. This paper describes the implementation of the control and user interface in a system with a digital twin. It is shown how the developed control architecture can be combined with different methods of human-machine interaction and virtual training. With this extended use of the control system by a digital twin the concept can be extended beyond the operation phase and can be used in other phases of the product life cycle.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 15-19
Modular Digital Twin for Adaptive Systems

Modular Digital Twin for Adaptive Systems

Human-machine interaction for control of semi-autonomous systems for container unloading
Jasper Wilhelm, Christoph Petzoldt, Thies Beinke, Michael Freitag ORCID Icon
The use of autonomous systems is not efficient in all applications due to variable system environments or small quantities. Semi-autonomous systems are able to bridge this gap. This article presents a digital twin-based approach for human-machine interaction using adaptive automation. A case study shows how a modular digital twin can support the operator of a CPS in specific tasks. This method allows for a distinction between short-term signal changes and long-term behavior modification. Thus, semi-autonomous systems can support operators in scenarios in which autonomous systems are not viable.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 2 | Pages 24-28
Humans in Cyber-Physical Production Systems

Humans in Cyber-Physical Production Systems

A Method for Evaluation of Design Principles for User Interfaces
Hendrik Stern ORCID Icon, Till Becker
Due to the change of work in manufacturing caused by the introduction of Cyber-Physical systems, there is a need for adequate design principles for user interfaces between humans and machines. Within a research project, a method for the determination and evaluation of such design principles was developed. The method can be used to create a catalogue of rules regarding the successful integration of human factors into Cyber-Physical production systems.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 4 | Pages 51-54
Design of Future Work Systems – Challenges for Human-Machine Interaction

Design of Future Work Systems - Challenges for Human-Machine Interaction

Herausforderungen der Mensch-Technik-Interaktion
Michael Schenk, Tina Haase, Alinde Keller, Dirk Berndt
Assistance technologies are an approach to support skilled workers in their work processes that are currently changing under the influence of the 4th industrial revolution. They aim at reducing physical and psychological stress by processing the big amount of decision-relevant data in a way that it serves workers for their decision-making process. Work places need to be designed in a way that they encourage learning and competence development and that involves future users in this design process.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 3 | Pages 63-67
Developing Human Skills within Human-Machine-Interactions in CPPS

Developing Human Skills within Human-Machine-Interactions in CPPS

Arbeiten und Lernen in der digital transformierten Produktion
Thomas Löffler, Anne Höhnel, Alexander Aust
Human labor will concentrate increasingly on problem-containing activities in Cyber-Physical Production Systems (CPPS). For this employees need a good understanding of systems and processes, a high ability to solve problems and good communication skills. An appropriate design of the interaction between humans and CPPS can help to ensure that these skills will be acquired, preserved and trained in the work process itself. An appropriate mental model on navigation within CPPS may encourage human competences. For this the metaphor „digital awareness“ is proposed.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 3 | Pages 39-42
Working Together with Robots

Working Together with Robots

New operation concepts allow new applications for robotics
Malte Wirkus, Vinzenz Bargsten
New areas of application arise for robots due to collaborative robots and new operation concepts. We describe important characteristics of these robotic systems and, as a possible application area for these systems, we present in this article a robotic assistant system for manual manufacturing tasks, which is controlled with a multi-modal user interface.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 2 | Pages 29-32
Humanization through Automation

Humanization through Automation

Der Arbeitsplatz der Zukunft im Zuge des demografischen Wandels
Michael Schenk
tensive thought about the organization and optimization of workplaces. The level of automation in these domains provides a response of these trends. Assisting systems and their use in innovative human-robot interaction are playing a major role. Pressure-sensitive sensor systems using so-called tactile sensors like those described in this article are one example of current trends in future research.
Industrie Management | Volume 30 | 2014 | Edition 1 | Pages 31-33
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