The Importance of Deciphering Tacit Knowledge in Apparel Product Development for Explainable AI: Proposed steps for increasing digitalization in the apparel industry

The Importance of Deciphering Tacit Knowledge in Apparel Product Development for Explainable AI: Proposed steps for increasing digitalization in the apparel industry
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DOI:
10.1145/3549737.3549806
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发表时间:
2022-09
期刊:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence
影响因子:
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通讯作者:
Fatma Baytar;Yoo-sun Yang;Mona Maher
Fatma Baytar;Yoo-sun Yang;Mona Maher
中科院分区:
其他
文献类型:
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作者:
Fatma Baytar;Yoo-sun Yang;Mona Maher

文献摘要

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服装产品开发是一个迭代的问题解决过程,本质上是启发式的,涉及将 2D 平面图案转变为适合人体解剖学的 3D 服装。后疫情时代,服装行业数字化转型趋势将加速。因此,更好地了解服装产品开发过程中生成的信息动态和类型,将这些信息转化为数字领域,以更好地支持服装行业至关重要。技术服装设计师在工作期间获得了有关服装合身的重要知识。记录他们的知识可以确保公司的专业知识得到保存并用于培训未来的员工。技术设计师的问题解决策略可以被跟踪、编码,并成为产品开发过程中人工智能 (AI) 技术的一部分。这将有助于增强现有和新设计公司的竞争力。然而,技术设计师所拥有的知识,以实现大幅改进的数字化,需要对通过多年经验获得的隐性或隐性知识进行彻底分析。由于服装设计师通过直接用手操作材料来学习的性质,这种知识类型很难记录。尽管如此,如果能够开发出一种成功的方法来记录这些知识,那将是非常有价值的,特别是对于组织知识管理而言,并且允许公司使用人工智能进行数字化。
Apparel product development is an iterative problem-solving process that is heuristic in nature and involves turning 2D flat patterns into a 3D garment that would fit human anatomy. The digital transformation trend in the apparel industry will accelerate in the post-pandemic era. Therefore, it is crucial to better understand the dynamics as well as the types of information generated during apparel product development to translate this information into the digital realm to better support the apparel industry. Technical apparel designers acquire important knowledge on garment fit during their years in the workforce. Documenting their knowledge could assure that the company's know-how would be saved and used to train the future workforce. Technical designers' problem-solving strategies can be tracked, coded, and made a part of artificial intelligence (AI) technology for product development sessions. This would help strengthen the competitiveness of both existing and new design companies. However, the knowledge possessed by the technical designers to enable much-improved digitalization would require a thorough analysis of tacit or implicit knowledge, which is acquired through years of experience. Due to the nature of how apparel designers learn by directly manipulating materials with their hands, this knowledge type is challenging to document. Nonetheless, if a successful method can be developed to document this knowledge, it would be very rewarding, especially for organizational knowledge management, and allow companies to digitalize using AI.