FashionQ: An Interactive Tool for Analyzing Fashion Style Trend with Quantitative Criteria
| Autor: | Bogoan Kim, Seungwan Jin, Youngseung Jeon, Kyungsik Han |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Interface (Java) Process (engineering) Human–computer interaction ComputerSystemsOrganization_MISCELLANEOUS 05 social sciences 0202 electrical engineering electronic engineering information engineering 020207 software engineering 0501 psychology and cognitive sciences 02 engineering and technology 050107 human factors User-centered design Style (sociolinguistics) |
| Zdroj: | CHI Extended Abstracts |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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