  Personal fabrication is made more accessible through repositories like
Thingiverse, as they replace modeling with retrieval. However, they require
users to translate spatial requirements to keywords, which paints an incomplete
picture of physical artifacts: proportions or morphology are non-trivially
encoded through text only. We explore a vision of in-situ spatial search for
(future) physical artifacts, and present ShapeFindAR, a mixed-reality tool to
search for 3D models using in-situ sketches blended with textual queries. With
ShapeFindAR, users search for geometry, and not necessarily precise labels,
while coupling the search process to the physical environment (e.g., by
sketching in-situ, extracting search terms from objects present, or tracing
them). We developed ShapeFindAR for HoloLens 2, connected to a database of
3D-printable artifacts. We specify in-situ spatial search, describe its
advantages, and present walkthroughs using ShapeFindAR, which highlight novel
ways for users to articulate their wishes, without requiring complex modeling
tools or profound domain knowledge.
