Satisfaction Through Clothing Utilization and Environmental Sustainability Based on Fashion AI Curation Service

Eunjung Shin, Sohyun Kim, Ae Ran Koh

Research output: Contribution to journalArticlepeer-review


This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the “Style Bot” application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.

Original languageEnglish
Pages (from-to)2867-2881
Number of pages15
JournalKSII Transactions on Internet and Information Systems
Issue number9
Publication statusPublished - 2022 Sept 30

Bibliographical note

Publisher Copyright:
© 2022 Korean Society for Internet Information. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications


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