A Survey on Human Machine Interaction in Industry 4.0
February 03, 2020 Β· The Cartographer Β· π arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey on Human Machine Interaction in Industry 4.0"
Evidence collected by the PWNC Scanner
Authors
Christian Krupitzer, Sebastian MΓΌller, Veronika Lesch, Marwin ZΓΌfle, Janick Edinger, Alexander Lemken, Dominik SchΓ€fer, Samuel Kounev, Christian Becker
arXiv ID
2002.01025
Category
cs.HC: Human-Computer Interaction
Citations
37
Venue
arXiv.org
Last Checked
2 days ago
Abstract
Industry 4.0 or Industrial IoT both describe new paradigms for seamless interaction between humans and machines. Both concepts rely on intelligent, inter-connected cyber-physical production systems that are able to control the process flow of industrial production. As those machines take many decisions autonomously and further interact with production and manufacturing planning systems, the integration of human users requires new paradigms. In this paper, we provide an analysis of the current state-of-the-art in human-machine interaction in the Industry 4.0 domain.We focus on new paradigms that integrate the application of augmented and virtual reality technology. Based on our analysis, we further provide a discussion of research challenges.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted