
doi: 10.62743/uad.3419
Augmented Reality (AR) boasts a wide array of applications throughout the entire product lifecycle; however, its adoption in industrial settings is often impeded by factors such as high setup costs, poor system integration, and limited modality. Despite these challenges, current Industrial Augmented Reality (IAR) applications exhibit a significant overlap in components used for information gathering and visualization. This paper describes the current state of modern IAR architectures and introduces a novel framework for the definition of requirements specific to IAR applications. This draws upon the principles of human-cantered design to provide a structured approach for integrating IAR more effectively in industrial contexts. Finally, a case-study shows how the framework can be used to help implement an assistance system for assembly of a simple product.
Augmented Reality;Industrial Augmented Reality;Requirements Engineering;Human Machine Interaction;System Design, Üretim ve Endüstri Mühendisliği (Diğer), Manufacturing and Industrial Engineering (Other)
Augmented Reality;Industrial Augmented Reality;Requirements Engineering;Human Machine Interaction;System Design, Üretim ve Endüstri Mühendisliği (Diğer), Manufacturing and Industrial Engineering (Other)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
