The pipeline reduces per-chart software labor from about two hours of manual Fusion 360 modeling to under 60 ms¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Replacing manual CAD modeling with the pipeline reduces software-side labor per chart by approximately four orders of magnitude. → Lawrence Obiuwevwi 2026

Evidence¶

Lawrence Obiuwevwi 2026¶

Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Jessica M. Johnson, Erika Frydenlund, Vikas Ashok, Sachin Shetty, & Sampath Jayarathna. (2026). Touching and Feeling the Data: A Reusable Software Pipeline for Tactile Statistical Graphs in Accessible Education. arXiv. https://arxiv.org/abs/2607.01214 doi:10.48550/arxiv.2607.01214

q2 · i? · design · r2

Workflow comparison reported in Results Section B: the baseline was approximately two hours of Fusion 360 modeling per chart, observed in the authors' engagement with one statistics course; the pipeline runs in under 60 ms on-device, excluding the vision API round-trip.

"The baseline workflow required approximately two hours of Fusion 360 modeling per chart. The pipeline reduces this to under 60 ms on-device (excluding vision API round-trip), a reduction of approximately four orders of magnitude in software-side labor."

Discussion¶

Related Claims¶

• The pipeline generates print-ready binary STL files for all five chart types in under 60 ms on a 150×150 mm plate — related
• In a one-year PBL deployment, the AI-assisted pipeline was associated with instructor preparation time falling from an average of eight hours to two hours per instruction (an estimated 75% reduction). — a broader claim this one bears on