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FashionQ: An Interactive Tool for Analyzing Fashion Style Trend with Quantitative Criteria

Published: 25 April 2020 Publication History

Abstract

Fashion is one of the areas in which decision-making relies on the subjective experiences of fashion professionals. Fashion style trend analysis is an important process in fashion; however, due to a lack of quantitative style criteria, analysis results tend to vary by fashion professionals, often making it difficult to apply the analysis results to other fashion cases. In this paper, we propose an interface that provides fashion professionals with objective support which can aid in making more generalizable decisions on fashion analysis. Through interviews and interactions with fashion professionals, we identified quantitative-style classification criteria and analysis requirements in decision making. Based on such design guidelines, we introduce FashionQ (Fashion Quant), which provides three main features: A quantitative-based style clustering (FashionQStyle), style trend analysis (FashionQTrend), and style comparison analysis (FashionQMap). Professionals positively evaluated FashionQ, showing its usefulness and feasibility of fashion analysis in the future.

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Cited By

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  • (2025)Understanding the Differences in an AI-Based Creativity Support Tool Between Creativity Types in Fashion DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2448484(1-14)Online publication date: 14-Jan-2025
  • (2022)Research and implementation of a trend prediction model based on trend similarity for the changing trends of fashion elements in clothingProceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering10.1145/3573428.3573685(1460-1466)Online publication date: 21-Oct-2022
  • (2022)POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query ExpansionComputer Vision – ECCV 202210.1007/978-3-031-19839-7_3(34-50)Online publication date: 23-Oct-2022

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cover image ACM Conferences
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
April 2020
4474 pages
ISBN:9781450368193
DOI:10.1145/3334480
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 25 April 2020

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  1. interactive interface
  2. quantitative fashion style analysis
  3. user-centered design

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2025)Understanding the Differences in an AI-Based Creativity Support Tool Between Creativity Types in Fashion DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2448484(1-14)Online publication date: 14-Jan-2025
  • (2022)Research and implementation of a trend prediction model based on trend similarity for the changing trends of fashion elements in clothingProceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering10.1145/3573428.3573685(1460-1466)Online publication date: 21-Oct-2022
  • (2022)POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query ExpansionComputer Vision – ECCV 202210.1007/978-3-031-19839-7_3(34-50)Online publication date: 23-Oct-2022

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