Case Study of GAI for Generating Novel Images for Real-World Embroidery
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918163229179904 |
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| author | Glazko, Kate Arugunta, Anika Chan, Janelle Jimenez-Garcia, Nancy Sharmin, Tashfia Mankoff, Jennifer |
| author_facet | Glazko, Kate Arugunta, Anika Chan, Janelle Jimenez-Garcia, Nancy Sharmin, Tashfia Mankoff, Jennifer |
| contents | In this paper, we present a case study exploring the potential use of Generative Artificial Intelligence (GAI) to address the real-world need of making the design of embroiderable art patterns more accessible. Through an auto-ethnographic case study by a disabled-led team, we examine the application of GAI as an assistive technology in generating embroidery patterns, addressing the complexity involved in designing culturally-relevant patterns as well as those that meet specific needs regarding detail and color. We detail the iterative process of prompt engineering custom GPTs tailored for producing specific visual outputs, emphasizing the nuances of achieving desirable results that align with real-world embroidery requirements. Our findings underscore the mixed outcomes of employing GAI for producing embroiderable images, from facilitating creativity and inclusion to navigating the unpredictability of AI-generated designs. Future work aims to refine GAI tools we explored for generating embroiderable images to make them more performant and accessible, with the goal of fostering more inclusion in the domains of creativity and making. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_16223 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Case Study of GAI for Generating Novel Images for Real-World Embroidery Glazko, Kate Arugunta, Anika Chan, Janelle Jimenez-Garcia, Nancy Sharmin, Tashfia Mankoff, Jennifer Human-Computer Interaction Computers and Society In this paper, we present a case study exploring the potential use of Generative Artificial Intelligence (GAI) to address the real-world need of making the design of embroiderable art patterns more accessible. Through an auto-ethnographic case study by a disabled-led team, we examine the application of GAI as an assistive technology in generating embroidery patterns, addressing the complexity involved in designing culturally-relevant patterns as well as those that meet specific needs regarding detail and color. We detail the iterative process of prompt engineering custom GPTs tailored for producing specific visual outputs, emphasizing the nuances of achieving desirable results that align with real-world embroidery requirements. Our findings underscore the mixed outcomes of employing GAI for producing embroiderable images, from facilitating creativity and inclusion to navigating the unpredictability of AI-generated designs. Future work aims to refine GAI tools we explored for generating embroiderable images to make them more performant and accessible, with the goal of fostering more inclusion in the domains of creativity and making. |
| title | Case Study of GAI for Generating Novel Images for Real-World Embroidery |
| topic | Human-Computer Interaction Computers and Society |
| url | https://arxiv.org/abs/2510.16223 |