TinkerXR: In-Situ, Reality-Aware CAD and 3D Printing Interface for Novices
Name
3745778.3766651.pdf
Size
15.68 MB
Format
Adobe PDF
Checksum (MD5)
646bc49dabc396e0c0fb9c8b0ccd0eb6
Author(s)
Arslan, O?uz
Akdo?an, Artun
Dogan, Mustafa Doga
Date Issued
November 19, 2025
Publisher
ACM|ACM Symposium on Computational Fabrication
Citation
Oğuz Arslan, Artun Akdoğan, and Mustafa Doga Dogan. 2025. TinkerXR: In-Situ, Reality-Aware CAD and 3D Printing Interface for Novices. In Proceedings of the ACM Symposium on Computational Fabrication (SCF '25). Association for Computing Machinery, New York, NY, USA, Article 18, 1–19.
Version
Final published version
Abstract
Despite the growing accessibility of augmented reality (AR) for visualization, existing computer-aided design (CAD) systems remain confined to traditional screens or require complex setups or predefined parameters, limiting immersion and accessibility for novices. We present TinkerXR, an open-source AR interface enabling in-situ design and fabrication through Constructive Solid Geometry (CSG) modeling. TinkerXR operates solely with a headset and 3D printer, allowing users to design directly in and for their physical environments. By leveraging spatial awareness, depth occlusion, recognition of physical constraints, reference objects, and hand movement controls, TinkerXR enhances realism, precision, and ease of use. Its AR-based workflow integrates design and 3D printing with a drag-and-drop interface for printers’ virtual twins.
A user study comparing TinkerXR with Tinkercad shows that TinkerXR offers novices higher accessibility, engagement, and ease of use. Participants highlighted how designing directly in physical space made the process more intuitive. By bridging the gap between digital creation and physical output, TinkerXR aims to transform everyday spaces into expressive creative studios. We release TinkerXR as open source1 to encourage further exploration of accessible, spatially grounded CAD tools.
Description
SCF ’25, Cambridge, MA, USA
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3745778.3766651
