A11yShape: AI-Assisted 3-D Modeling for Blind and Low-Vision Programmers

Building 3-D models is challenging for blind and low-vision (BLV) users due to the inherent complexity of 3-D models and the lack of support for non-visual interaction in existing tools. To address this issue, we introduce A11yShape, a novel system designed to help BLV users who possess basic programming skills understand, modify, and iterate on 3-D models. A11yShape leverages LLMs and integrates with OpenSCAD, a popular open-source editor that generates 3-D models from code. Key functionalities of A11yShape include accessible descriptions of 3-D models, version control to track changes in models and code, and a hierarchical representation of model components. Most importantly, A11yShape employs a cross-representation highlighting mechanism to synchronize semantic selections across all model representations - code, semantic hierarchy, AI description, and 3-D rendering. We conducted a multi-session user study with four BLV programmers, where, after an initial tutorial session, participants independently completed 12 distinct models across two testing sessions, achieving results that aligned with their own satisfaction. The result demonstrates that participants were able to comprehend provided 3-D models, as well as independently create and modify 3-D models - tasks that were previously impossible without assistance from sighted individuals.

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Publication Details

Published
2025-10-22
DOI
https://doi.org/10.1145/3663547.3746362
Citations
1
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
1.94
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article

A11yShape: AI-Assisted 3-D Modeling for Blind and Low-Vision Programmers

Anhong Guo, Junan Xie, Mingming Fan, Angus G. Forbes et al.
1 citations
Interactive and Immersive Displays
1.94
article

A11yShape: AI-Assisted 3-D Modeling for Blind and Low-Vision Programmers

Anhong Guo, Junan Xie, Mingming Fan, Angus G. Forbes, Zhuohao Zhang, Jacob O. Wobbrock, Faraz Faruqi, Liang He, Haichang Li, Chun Yu
article en
1 citations

Abstract

Building 3-D models is challenging for blind and low-vision (BLV) users due to the inherent complexity of 3-D models and the lack of support for non-visual interaction in existing tools. To address this issue, we introduce A11yShape, a novel system designed to help BLV users who possess basic programming skills understand, modify, and iterate on 3-D models. A11yShape leverages LLMs and integrates with OpenSCAD, a popular open-source editor that generates 3-D models from code. Key functionalities of A11yShape include accessible descriptions of 3-D models, version control to track changes in models and code, and a hierarchical representation of model components. Most importantly, A11yShape employs a cross-representation highlighting mechanism to synchronize semantic selections across all model representations - code, semantic hierarchy, AI description, and 3-D rendering. We conducted a multi-session user study with four BLV programmers, where, after an initial tutorial session, participants independently completed 12 distinct models across two testing sessions, achieving results that aligned with their own satisfaction. The result demonstrates that participants were able to comprehend provided 3-D models, as well as independently create and modify 3-D models - tasks that were previously impossible without assistance from sighted individuals.

The University of Texas at Dallas (US), University of Washington (US), Purdue University West Lafayette (US), University of Michigan (US), Nvidia (United States) (US), Seattle University (US), Stanford University (US)
Openalex Percentile: Top 12%
Interactive and Immersive Displays
1.94
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