Generative adversarial networks for simulating emotional resonance in industrial product design

Key Points

• The aim is to explore how generative adversarial networks can enhance emotional resonance in product design.
• Utilized generative adversarial networks to create simulations of product designs.
• Analyzed user emotional responses to various design simulations using quantitative measures.
• Conducted a series of tests to evaluate the effectiveness of designs created by the algorithm.
• Generative adversarial networks significantly improved users' emotional connection with the products.
• User ratings increased by 30% for designs generated through the network versus traditional methods.
• The emotional impact scores showed a higher average of 4.5 on a scale of 1-5 for simulated designs.

Abstract