Daedalus in the Dark: Designing for Non-Visual Accessible Construction of Laser-Cut Architecture
Ruei-Che Chang, Chih-An Tsao, Fang-Ying Liao, Seraphina Yong, Tom Yeh, Bing-Yu Chen
Abstract
Design tools and research regarding laser-cut architectures have been widely explored in the past decade. However, such discussion has mostly revolved around technical and structural design questions instead of another essential element of laser-cut models — assembly — a process that relies heavily on components’ visual affordance, therefore less accessible to blind or low vision (BLV) people. To narrow the gap in this area, we co-designed with 7 BLV people to examine their assembly experience with different laser-cut architectures. From their feedback, we proposed several design heuristics and guidelines for Daedalus, a generative design tool that can produce tactile aids for laser-cut assembly given a few high-level manual inputs. We validate the proposed aids in a user study with 8 new BLV participants. Our results revealed that BLV users can manage laser-cut assembly more efficiently with Daedalus. Going forth from this design iteration, we discuss implications for future research on accessible laser-cut assembly.
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Install the CLIlune papers get d21b7f9e-e306-46bc-be4c-a78c03d457fcCited by top-tier papers4
- FoolProofJoint: Reducing Assembly Errors of Laser Cut 3D Models by Means of Custom Joint PatternsKeunwoo Park, Conrad Lempert, Muhammad Abdullah, Shohei Katakura et al.CHI 2022 · 25 citations
- HingeCore: Laser-Cut Foamcore for Fast AssemblyMuhammad Abdullah, Romeo Sommerfeld, Bjarne Sievers, Leonard Geier et al.UIST 2022 · 21 citations
- Understanding (Non-)Visual Needs for the Design of Laser-Cut ModelsRuei-Che Chang, Seraphina Yong, Fang-Ying Liao, Chih-An Tsao et al.CHI 2023 · 5 citations
- Kerfmeter: Automatic Kerf Calibration for Laser CuttingShohei Katakura, Martin Taraz, Muhammad Abdullah, Paul Methfessel et al.CHI 2023 · 5 citations
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