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Award ID contains: 2119549

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  1. ; (, Computers & Education: X Reality)
    Free, publicly-accessible full text available June 1, 2026
  2. ; (, IEEE)
    Free, publicly-accessible full text available May 5, 2026
  3. ; ; ; ; ; ; ; ; ; ; et al (, IEEE)
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  4. ; ; ; ; ; ; ; ; (, IEEE)
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  5. ; ; ; ; (, IEEE)
    Accepted Manuscript Full Text Available
  6. ; ; ; ; ; ; ; ; ; (, Springer, Cham)
    Accepted Manuscript Full Text Available
  7. ; ; ; ; ; ; ; ; ; (, Springer)
    Accepted Manuscript Full Text Available
  8. ; (, IEEE Conference on Virtual Reality + 3D User Interfaces Abstracts and Workshops (VRW))
    BRICKxAR (Multi 3D Models/M3D) prototype offers markerless, in-situ, and step-by-step, highly accurate Augmented Reality (AR) assembly instructions for large or small part assembly. The prototype employs multiple assembly phases of deep learning-trained 3D model-based AR registration coupled with a step count. This ensures object recognition and tracking persist while the model updates at each step, even if a part's location is not visible to the AR camera. The use of phases simplifies the complex assembly instructions. The testing and heuristic evaluation findings indicate that BRICKxAR (M3D) provides robust instructions for assembly, promising potential applicability at different scales and scenarios. 
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    Accepted Manuscript Full Text Available
  9. ; ; ; (, Virtual Reality)
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  10. ; ; ; ; ; ; ; ; (, IEEE)
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