4.7 Article

Augmented reality aided object mapping for worker assistance/training in an industrial assembly context: Exploration of affordance with existing guidance techniques

期刊

COMPUTERS & INDUSTRIAL ENGINEERING
卷 185, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2023.109663

关键词

Augmented reality; Virtual reality; Assembly; Disassembly; Object mapping

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This article explores the potential and applications of augmented reality in an industrial production environment. By comparing different guidance modes and visualization devices, the study found that object mapping-based augmented reality has a positive impact on improving assembly task efficiency and reducing errors. Head-mounted visualization devices offer a more realistic experience, leading to fewer errors and shorter completion time.
In recent years, the affordances of immersive technologies in the industrial context have enabled the onsite worker to have increased potential towards handling the complex procedural and cognitive tasks involved in the strategy of manufacturing an appropriate product. This article describes the potential of Augmented Reality (AR) in terms of upgraded workplace understanding, training, and assisting semi-skilled/new workers in an industrial production environment. The different modes of instruction visualization techniques are investigated for the execution of assembly tasks and explored their impact in accordance to the efficiency of task execution, completion time, error rate perception, cognitive load, and independence. Progress outcomes of 24 participants are explored for real-time execution of a Reverse osmosis (RO) booster pump assembly in terms of different modes of visualization, such as the conventional document method, virtual /desktop mode, and object mappingbased AR. Additionally, the user studies on different visualization devices involving hand-held visualization devices (HHVD) and Head-mounted visualization devices (HMVD) are investigated and validated in terms of adaptability, acceptability, and usability. Furthermore, the effectiveness of the AR-aided object mapping technology versus other methods is explored through the feedback received from both experts and academia participants, which increases the insight of the technology and provides an intelligent mechanism for semi-skilled/ new workers to handle complex or challenging operations in the production environment. The studies indicate that object mapping-based AR visualization facilitates increased assembly task efficiency and the minimum number of errors compared to the other guidance modes. Notably, the HMVD affords an increased realism experience, minimized errors, and less completion time compared to the HHVD.

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