Investigation of design components on KANSEI impression of clothing based on real cloths and images for various users

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K12179
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61060:Kansei informatics-related
• Research Institution: Utsunomiya University
• Principal Investigator: Ayama Miyoshi 宇都宮大学, オプティクス教育研究センター, 特任教授 (30251078)
• Co-Investigator(Kenkyū-buntansha): 佐藤 美恵 宇都宮大学, 工学部, 教授 (00344903) ; 奥田 紫乃 同志社女子大学, 生活科学部, 教授 (60352035) ; 柳田 佳子 文化学園大学, 服装学部, 教授 (60409323) ; 石川 智治 宇都宮大学, 工学部, 教授 (90343186)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: ファッションコーディネート / きちんと感 / こなれ感 / 好ましさ / デザイン要素

Outline of Final Research Achievements

This study conducted a subjective evaluation experiment on the combination of a simple short-sleeved collarless blouse and black pants, varying the length balance and silhouette, using real-stimuli and image-stimuli for the feeling of "neatness," "naturally accustomed to," and "attractiveness" in four different groups of different affiliations and ages. Based on the results, quantitative relationships between design elements (ratio of lengths of blouse and pants, etc.) and the scores of above evaluation terms were derived. In addition, a prototype of an outfit recommendation system was constructed, in which the observers were asked to input the degree of "neat" or " naturally accustomed to," and the corresponding fashion images were presented from the database chosen from fashion images on the internet. Average score of the trial evaluations by 20 female engineering students was 3.7 which is close to "satisfactory", indicating a possibility of this recommendation system.

Free Research Field

感性情報学，視覚科学，色彩科学

Academic Significance and Societal Importance of the Research Achievements

所属や年齢の異なる4種の被験者群に対する実物衣服と衣服画像を用いた主観評価実験の結果に基づいて、服装の印象評価とデザイン要素との関係について新しい定量的な関係を提案し、それに基づく服装レコメンドシステムのプロトタイプを構築し一定の評価を得た．近年e-shoppingが拡大しているファッション分野において、印象評価語によるファッション画像検索は未だ不十分であるが、本研究はその発展に応用可能な知見を提供することができた．