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Personal fabrication is made more accessible through repositories likeThingiverse, as they replace modeling with retrieval. However, they requireusers to translate spatial requirements to keywords, which paints an incompletepicture of physical artifacts: proportions or morphology are non-triviallyencoded through text only. We explore a vision of in-situ spatial search for(future) physical artifacts, and present ShapeFindAR, a mixed-reality tool tosearch for 3D models using in-situ sketches blended with textual queries. WithShapeFindAR, users search for geometry, and not necessarily precise labels,while coupling the search process to the physical environment (e.g., bysketching in-situ, extracting search terms from objects present, or tracingthem). We developed ShapeFindAR for HoloLens 2, connected to a database of3D-printable artifacts. We specify in-situ spatial search, describe itsadvantages, and present walkthroughs using ShapeFindAR, which highlight novelways for users to articulate their wishes, without requiring complex modelingtools or profound domain knowledge.

ShapeFindAR: Exploring In-Situ Spatial Search for Physical Artifact Retrieval using Mixed Reality