Hyunmin Cheong, Wei Li, Li Shu, Alex Tessier, Erin Bradner, Francesco Iorio
Hyunmin Cheong, Wei Li, Li Shu, Alex Tessier, Erin Bradner, Francesco Iorio
ACM SIGCHI Workshop
2014
This paper presents our research approach and challenges in designing natural language interaction for a mechanical computer-aided design (CAD) system. We intend to use natural language input, ideally speech, as one method for capturing design problem definition from designers. Based on the problem definition, a new type of CAD system could explore a set of geometries that solves the problem. Our approach involves solving a natural language understanding problem: translating problem definition statements into a formal language that can be used for our exploration procedures.
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What if a CAD system could generate thousands of design options that all meet your specified goals? It’s no longer what if: it’s Project Dreamcatcher, the next generation of CAD. Dreamcatcher is a generative design system that enables designers to craft a definition of their design problem through goals and constraints. This information is used to synthesize alternative design solutions that meet the objectives. Designers are able to explore trade-offs between many alternative approaches and select design solutions for manufacture.