Integration of Artificial Intelligence Technology in Designing Handwoven Textile Patterns Incorporating Local Identity: A Case Study of the Ban Sao Luang Community Weaving Enterprise

Abstract

       This research aimed to 1) study the unique patterns of community handwoven fabrics, to design handwoven fabric patterns that integrate local identity through artificial intelligence (AI) technology and 2) to assess consumer satisfaction levels. A mixed-methods approach was employed. Qualitative data were collected through observation, interviews, and brainstorming sessions with 12 weaving experts from the Ban Sao Luang Weaving Community Enterprise in Mueang Nan District, Nan Province, to analyze indigenous knowledge and develop Prompt commands for pattern generation using the Stable Diffusion model. Quantitative data were obtained from 385 consumers using a structured questionnaire. Descriptive statistics, including mean, percentage, and standard deviation, were used for data analysis.

         The results revealed that the group's unique signature pattern is the Bo Suak pattern, inspired by ancient pottery paste decorations on jar mouths. An analysis of pattern elements combined with community context enabled the development of 9 contemporary prototype patterns reflecting local identity. Weaving experts evaluated the feasibility of all prototypes through a consensus-based process, selecting patterns No. 3, 7, and 8 as the most suitable for actual weaving in terms of craftsmanship, production compatibility, and practical feasibility. Pattern No. 8 was ultimately chosen for product prototype development. The overall consumer satisfaction with the AI-designed textile patterns was found to be at the highest level (mean = 4.47).