Mental-Gen: A Brain-Computer Interface-Based Interactive Method for Interior Space Generative Design
2024
Non-professional users often lack formal training and tools to express their design ideals. Current AI-assisted design tools rely primarily on language-based interaction, forcing users to repeatedly pause, verbalize incomplete thoughts, and translate them into precise prompts. Yet design is an iterative cognitive process in which vague mental images gradually become concrete through exploration. This project proposes a novel approach to refining/controlling generative AI models by user mental intentions decoded directly from brain signals (EEG).