Work

Interactive Design of AI-integrated and Sensor-based Food Packaging with Innovative Incorporation of Arts and Crafts Elements

Year: 2026

Type: article

Abstract: 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.

Source: Sensors and Materials

DOI: 10.18494/sam6060

Authors: Ho-Sheng Chen, Hui-Chen Tsai, Cheng-Fu Yang, Lung-Fa Wu, Jian-Chiun Liou

Institutions: Fuzhou Technology and Business University, Chaoyang University of Technology, National University of Kaohsiung, National Yunlin University of Science and Technology, Taipei Medical University

Language: English

Topic: Digital Media and Visual Art

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $748

OpenAlex ID: W7166535948