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
摘要
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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- FoolProofJoint: Reducing Assembly Errors of Laser Cut 3D Models by Means of Custom Joint PatternsKeunwoo Park, Conrad Lempert, Muhammad Abdullah, Shohei Katakura 等CHI 2022 · 被引用 25 次
- HingeCore: Laser-Cut Foamcore for Fast AssemblyMuhammad Abdullah, Romeo Sommerfeld, Bjarne Sievers, Leonard Geier 等UIST 2022 · 被引用 21 次
- Understanding (Non-)Visual Needs for the Design of Laser-Cut ModelsRuei-Che Chang, Seraphina Yong, Fang-Ying Liao, Chih-An Tsao 等CHI 2023 · 被引用 5 次
- Kerfmeter: Automatic Kerf Calibration for Laser CuttingShohei Katakura, Martin Taraz, Muhammad Abdullah, Paul Methfessel 等CHI 2023 · 被引用 5 次
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