Comparing Video and Augmented Reality Assistance in Manual Assembly
Abstract
Manual work is a cornerstone of manufacturing. This holds true today, as well as for future factories of the Industry 4.0 era. Use cases of manual work are small series or highly customized products. Assistance systems that support workers in dealing with such diverse assembly processes are developed and evaluated. This paper presents an evaluation of an Augmented Reality-based assistance system which is integrated in a manual workstation. This system is compared with video-based assistance regarding performance, user acceptance and mental workload. It shows a significantly reduced number of errors and scored better regarding time and mental workload.
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A blockchain may allow decreasing delivery time and optimizing stock management by distributing work offers from industrial consumers to producers.
“The use of a blockchain may allow for decreasing delivery time and optimizing stock management by distributing work offers from industrial consumers to producers [137]”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [137]
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Fernandez-Carames, T. M., & Fraga-Lamas, P. (2019) · IEEE Access · doi:10.1109/access.2019.2908780 · Cited by 321 · see citing works
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- Authors
- Loch, F., Quint, F., & Brishtel, I.
- Affiliations
- German Research Centre for Artificial Intelligence (DE)
- ORCID
- Loch, Frieder
- Venue
- 2016 12th International Conference on Intelligent Environments (IE)
- Publisher
- IEEE
- Published
- 2016-09
- Volume
- 2016
- Pages
- 147-150
- OpenAlex
- W2541220018
- Cited by
- 110
- References
- 14
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 10 · 2023: 17 · 2022: 11 · 2021: 25 · 2020: 17 · 2019: 8 · 2018: 12 · 2017: 4
- FWCI
- 2.78
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Intelligent Environments (IE) (publishedVersion)
- IEEE Conference Proceedings
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Keywords
- augmented reality, manual assembly, mental workload, user acceptance, assembly errors, Industry 4.0, workstation integration, small series production
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