Bui Minh Khuong, Kiyoshi Kiyokawa, Andrew Miller, Joseph J. LaViola Jr., Tomohiro Mashita, Haruo Takemura
This study evaluates the effectiveness of an AR-based context-aware assembly support system with AR visualization modes proposed in object assembly. Our test-bed system displays guidance information and error detection information corresponding to the recognized assembly status in the context of building block (LEGO) assembly. We proposed two AR visualization modes and conducted an evaluation to comparatively evaluate these AR visualization modes as well as determine the effectiveness of context-aware error detection. Our experimental results indicate a visualization mode that shows target status next to real objects of concern outperforms the traditional direct overlay under moderate registration accuracy and marker-based tracking.