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This task requires a combination of expertise in fields such as anatomy, biomechanics, and textile design, which is seldom found in a single practitioner. Generative AI, such as Large Language Models (LLMs), has recently shown promise in facilitating design. However, to our knowledge, the extent to which LLMs can aid in the e-textile design process remains largely unexplored in the literature. To address this open question, we conducted a case study focusing on shoulder motion detection using flex sensors. We enlisted three human designers to participate in an experiment involving human-AI collaborative design. We examined design efficiency across three scenarios: designs produced by LLMs alone, by humans alone, and through collaboration between LLMs and human designers. Our quantitative and qualitative analyses revealed an intriguing relationship between expertise and outcomes: the least experienced human designer achieved continuous improvement through collaboration, ultimately matching the best performance achieved by humans alone, whereas the most experienced human designer experienced a decline in performance. Additionally, the effectiveness of human-AI collaboration is affected by the granularity of feedback - incremental adjustments outperformed sweeping redesigns - and the level of abstraction, with observation-oriented feedback producing better outcomes than prescriptive anatomical directives. These findings offer valuable insights into the opportunities and challenges associated with human-AI collaborative e-textile design.<\/jats:p>","DOI":"10.1145\/3816771","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T15:39:14Z","timestamp":1782747554000},"page":"1-78","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Human-AI Collaboration in E-Textile Design: A Case Study on Flex Sensor Placement for Shoulder Motion Detection EICS019"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5034-2551","authenticated-orcid":false,"given":"Zhuchenyang","family":"Liu","sequence":"first","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2211-9914","authenticated-orcid":false,"given":"Yao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7202-3908","authenticated-orcid":false,"given":"Yalan","family":"He","sequence":"additional","affiliation":[{"name":"Fudan University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8275-8981","authenticated-orcid":false,"given":"Hilla","family":"Paasio","sequence":"additional","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9034-9122","authenticated-orcid":false,"given":"Changyi","family":"Li","sequence":"additional","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6554-0716","authenticated-orcid":false,"given":"Guna","family":"Semjonova","sequence":"additional","affiliation":[{"name":"Riga Stradins University","place":["Riga, Latvia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4517-3779","authenticated-orcid":false,"given":"Yu","family":"Xiao","sequence":"additional","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"crossref","unstructured":"Deanna\u00a0S Asakawa Matthew\u00a0G Becker Jennifer\u00a0M Asaro and Jennifer\u00a0L Hein. 2022. 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