Application of EEG and Interactive Evolutionary Design Method in Cultural and Creative Product Design

Area of Science:

• Neuroscience
• Artificial Intelligence
• Human-Computer Interaction

Background:

• Designing cultural and creative products requires understanding user image preferences.
• Traditional methods may not fully capture the emotional and perceptual aspects of user needs.

Purpose of the Study:

• To propose a novel method for analyzing user image preferences in cultural product design.
• To integrate electroencephalography (EEG), interactive genetic algorithms (IGA), and back propagation neural networks (BPNN) for preference analysis.
• To enhance the design process by incorporating user emotional needs and perceptual image semantics.

Main Methods:

• EEG was used to record brainwave responses to cultural elements, analyzed via frontal alpha asymmetry to determine preference.
• A semantic difference method and factor analysis extracted user perceptual image semantics.
• An interactive evolutionary design system combining IGA and BPNN was developed, with BPNN simulating user evaluation to reduce fatigue.

Main Results:

• The study successfully integrated EEG, IGA, and BPNN to analyze user preferences for cultural elements.
• The system extracted perceptual image semantics and user emotional needs.
• A case study on flavoring bottle design demonstrated the method's effectiveness in generating user-satisfying designs.

Conclusions:

• User preference analysis using EEG and AI can significantly inform cultural product design.
• The proposed method allows designers to understand and meet users' emotional and perceptual image requirements.
• This approach facilitates the creation of culturally relevant and appealing creative products.