Towards augmented reality manuals for industry 4.0: A methodology
Robotics and Computer-Integrated Manufacturing, ISSN: 0736-5845, Vol: 56, Page: 276-286
2019
- 191Citations
- 513Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Augmented Reality (AR), is one of the most promising technology for technical manuals in the context of Industry 4.0. However, the implementation of AR documentation in industry is still challenging because specific standards and guidelines are missing. In this work, we propose a novel methodology for the conversion of existing “traditional” documentation, and for the authoring of new manuals in AR in compliance to Industry 4.0 principles. The methodology is based on the optimization of text usage with the ASD Simplified Technical English, the conversion of text instructions into 2D graphic symbols, and the structuring of the content through the combination of Darwin Information Typing Architecture (DITA) and Information Mapping (IM). We tested the proposed approach with a case study of a maintenance manual of hydraulic breakers. We validated it with a user test collecting subjective feedbacks of 22 users. The results of this experiment confirm that the manual obtained using our methodology is clearer than other templates.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0736584518301236; http://dx.doi.org/10.1016/j.rcim.2018.10.001; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85055744807&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0736584518301236; https://api.elsevier.com/content/article/PII:S0736584518301236?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0736584518301236?httpAccept=text/plain; https://dx.doi.org/10.1016/j.rcim.2018.10.001
Elsevier BV
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