The development of an aesthetic language for fashion: Improving efficacy for emerging generative AI contexts

This pilot study explored the articulation of fashion design students’ aesthetic design language for fashion (ADL-F) and investigated methods for improved efficacy. Using a three-pronged theoretical framework (information theory, descriptive linguistics and multimodal discourse analysis) a three-phase analysis was conducted consisting of thematic, content and spatial mapping evaluations of student ADL-F statements and corresponding sewn garments. Findings reveal aspects of literal visual translation of garments in student work, but difficulties overusing metaphorical and vague language. A developed instrument found significant associations between ADL-F variables and quality ratings and highlighted challenges in specificity, clarity and accuracy for many variables such as pattern, texture and function. A spatial mapping approach was developed that further revealed gaps in comprehensive ADL-F descriptions. Insights indicate that improved ADL-F would include precise language, reduced metaphor use, enhanced knowledge and usage of ADL-F variables, and comprehensive spatial descriptions of the design in applications of academic, professional and emerging GenAI contexts.