Interactive Design of AI-integrated and Sensor-based Food Packaging with Innovative Incorporation of Arts and Crafts Elements
hierarchy process (AHP) In this study, we developed an intelligent food packaging design and evaluation framework integrating AI-generated design, sensing materials, craft aesthetics, and a multi-attribute decision model.A craft-art dataset containing patterns, colors, and compositions was first established.Visual features were extracted using a Convolutional Neural Network, whereas Generative Adversarial Network and Latent Diffusion Model algorithms generated diverse patterns that preserved cultural symbols while extending modern visual appeal.Three sensing materials, namely, temperature-humidity sensing films, photochromic films, and eco-friendly substrates, were experimentally tested for response time, color difference (ΔE), mechanical strength, and food safety to ensure real-time responsiveness and stability.A user study with 30 participants compared three prototypes: (1) conventional packaging, that is, packaging without AI-generated design or sensing-interactive functionality, (2) algorithm-generated packaging, and (3) algorithm sensor-interactive packaging.Participants evaluated visual aesthetics, interactivity, and cultural identity.By using Analytic Hierarchy Process and Fuzzy-Technique for Order Preference by Similarity to Ideal Solution for multi-attribute analysis, the sensor-interactive packaging achieved the best performance across Structural Similarity Index Measure, Frechet Inception Distance, color harmony, and user rating (correlation coefficient = 0.670), outperforming the others.The findings confirm that integrating AI-driven generative design with sensor-based materials enhances the aesthetic and interactive experience of packaging.The proposed framework provides a quantifiable and practical evaluation model for cultural-creative design, offering broad applicability to food, cultural, and sustainable packaging industries and supporting the advancement of smart packaging and cultural innovation.
Authors
- Jian‐Chiun Liou (ORCID: https://orcid.org/0000-0002-1832-3794)
- Cheng-Fu Yang
- Hui-Chen Tsai
- Ho-Sheng Chen
- Lung-Fa Wu
Publication Details
- Journal
- Sensors and Materials
- Published
- 2026-06-29
- DOI
- https://doi.org/10.18494/sam6060
- Primary Topic
- Consumer Packaging Perceptions and Trends
- Type
- article
- Field-Weighted Citation Impact
- 0.00