This research looks at what happens in shoppers’ minds when a product is designed by AI instead of a human designer—how it changes what they notice, how much they like it, whether they trust it, and if they’ll actually buy it.
Helps brands and product teams understand whether using AI for product and packaging design will attract or repel consumers, under what conditions it works best, and how to position AI-designed offerings so they don’t backfire on trust or perceived quality.
Insight into psychological response mechanisms (e.g., perceived creativity, trust, control, anthropomorphism) around AI-designed products that can inform proprietary design guidelines, brand playbooks, and testing frameworks.
Classical-ML (Scikit/XGBoost)
Unknown
Medium (Integration logic)
Generalization of lab-based consumer experiments to real-world, large-scale, cross-cultural markets.
Early Majority
Focuses not on building an AI design tool, but on empirically mapping how consumers psychologically respond to AI-designed products versus human-designed ones, providing structured guidance on when and how to disclose AI involvement, and how this shapes purchase intention, perceived value, and brand attitudes.