DOI: 10.18848/2325-162x/cgp/a173 ISSN: 2325-1638

Generative AI in Senior Footwear Design

Ling Cheung, Chui Shan Lee
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This research aims to present a design scenario of generative artificial intelligence (GenAI)-driven image generation during the stages of senior footwear design and development. This study provides understanding of how GenAI works with fashion ideas in the industry. The extraordinary potential of AI drives trends to create exquisite designs that captivate the sophisticated preferences of the senior female population. This study integrates an analysis of existing academic literature with quantitative analysis findings derived from the survey about aesthetic design of senior footwear involving the senior population in Hong Kong. Through examining existing solutions and GenAI-based text-to-image generation, the exploration of the underlying synergy between artificial intelligence (AI) algorithms and fashion concepts reveals the perceptions and requirements surrounding footwear design that resonate with senior consumers. Through IBM Statistical Product and Service Solutions analysis, key features of senior footwear were identified, leading to the illustration of a new design: pink in color, made of flyknit fabric, no fastenings, and with a 1-inch heel height. Indeed, women demonstrate a higher acceptance of the aesthetic footwear design. By intertwining various creative concepts derived from the findings, a series of women’s footwear designs was generated using the GenAI program Midjourney. Therefore, these images present an abundance of visual inspiration, accelerating the evolution of ideas and refinement of product development through designated GenAI Prompt description of keywords, including pink color, slip-on, flyknit materials, 1-inch heel and ultra-high resolution. The result highlights how these design elements contribute to enriching the theoretical framework, particularly within scenarios of GenAI-driven footwear styles.

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