Targeted control of fast prototyping through domain-specific interface
This work addresses a specific challenge for industrial designers in fast prototyping, offering an incremental improvement by enhancing existing Large Language Model capabilities with a domain-specific interface.
The paper tackles the problem of enabling industrial designers to control prototype models using natural language by bridging the gap between designers' language and modeling languages, resulting in an interface that demonstrates precise and effective targeted control across various product design domains.
Industrial designers have long sought a natural and intuitive way to achieve the targeted control of prototype models -- using simple natural language instructions to configure and adjust the models seamlessly according to their intentions, without relying on complex modeling commands. While Large Language Models have shown promise in this area, their potential for controlling prototype models through language remains partially underutilized. This limitation stems from gaps between designers' languages and modeling languages, including mismatch in abstraction levels, fluctuation in semantic precision, and divergence in lexical scopes. To bridge these gaps, we propose an interface architecture that serves as a medium between the two languages. Grounded in design principles derived from a systematic investigation of fast prototyping practices, we devise the interface's operational mechanism and develop an algorithm for its automated domain specification. Both machine-based evaluations and human studies on fast prototyping across various product design domains demonstrate the interface's potential to function as an auxiliary module for Large Language Models, enabling precise and effective targeted control of prototype models.