When we select clothes to wear, various factors such as weather, place, and occasion, in addition to personal preferences, must be considered. It is also essential to view the overall balance of the outfit by properly combining items such as tops, bottoms, and outerwear. However, it is not easy to consider a combination of various clothing items daily. For example, people tend to wear certain clothes frequently, or they might forget clothes in the back of their closet and stop wearing them, resulting in an uneven dressing style. We focus on a bias in the wearing of clothes and research to promote clothing utilization by having people wear all their clothes more regularly. In this study, we propose and implement the “BingoFit” system, which presents a user’s clothes using the bingo style. The user uses the BingoFit system by filling in squares showing clothes on a bingo card and then wearing the clothes shown. We conducted experiment tests to use our system during multiple seasons. Then, we found that using BingoFit to select clothes helped them discover new combinations of clothes and encouraged them to wear infrequently worn clothes, thereby promoting their use of the clothes they owned.
International Conference on Human-Computer Interaction (HCII 2023)
Date of presentation
Yukino Aoki, Kouta Yokoyama, Satoshi Nakamura. BingoFit: A Bingo Clothes Presentation System for Utilizing Owned Clothes, International Conference on Human-Computer Interaction (HCII 2023), Vol.CCIS, volume 1834, pp.10-16, 2023.