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FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design

Published: 07 May 2021 Publication History

Abstract

Recent research on creativity support tools (CST) adopts artificial intelligence (AI) that leverages big data and computational capabilities to facilitate creative work. Our work aims to articulate the role of AI in supporting creativity with a case study of an AI-based CST tool in fashion design based on theoretical groundings. We developed AI models by externalizing three cognitive operations (extending, constraining, and blending) that are associated with divergent and convergent thinking. We present FashionQ, an AI-based CST that has three interactive visualization tools (StyleQ, TrendQ, and MergeQ). Through interviews and a user study with 20 fashion design professionals (10 participants for the interviews and 10 for the user study), we demonstrate the effectiveness of FashionQ on facilitating divergent and convergent thinking and identify opportunities and challenges of incorporating AI in the ideation process. Our findings highlight the role and use of AI in each cognitive operation based on professionals’ expertise and suggest future implications of AI-based CST development.

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    cover image ACM Conferences
    CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
    May 2021
    10862 pages
    ISBN:9781450380966
    DOI:10.1145/3411764
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    Published: 07 May 2021

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    Author Tags

    1. artificial intelligence utilization
    2. cognitive operation
    3. creativity support tool
    4. fashion design
    5. ideation process

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    • (2025)Environmental Implications and Sustainable Strategies in the Global Apparel Industry: Overcoming Climate Change Challenges with Artificial IntelligenceBig Data and Internet of Things10.1007/978-3-031-74491-4_19(235-248)Online publication date: 3-Jan-2025
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