| Autor: |
Nils Darwin Abele, Karsten Kluth |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) ISBN: 9783030746070 |
| DOI: |
10.1007/978-3-030-74608-7_45 |
| Popis: |
Fast and efficient learning is a necessary requirement for modern workplaces in response to dynamic markets and constantly changing work practices. Sharing knowledge and experience is an essential part of this. Computer technologies, such as Cyber-Physical Production Systems (CPPS) built according to the concept of Augmented Reality (AR), are used in this context. In a research project, such a system was developed to support machine setters for set-up processes on industrial machines. This paper evaluates the tool with respect to selected parameters relevant to strain and performance. The findings provide information on the extent to which an AR-based tool can be used in an industrial context from a physiological and psychological perspective as well as from an entrepreneurial point of view. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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