Issue |
SHS Web Conf.
Volume 189, 2024
The 2nd International Conference on Ergonomics Safety, and Health (ICESH) and the 7th Ergo-Camp (ICESH & Ergo-Camp 2023)
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Article Number | 01017 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/shsconf/202418901017 | |
Published online | 09 April 2024 |
Wearable Clothing Drop Box Design Using Persuasive Design Approach
Department of Industrial Engineering, Parahyangan Catholic University, Bandung, Indonesia
* Corresponding author: claratheresia@unpar.ac.id
The phenomenon of fast fashion (the trend of dressing in a short period of just six months to two years) is a trend that occurs today. This trend raises the problem of stacking clothes. Clothes that are not reused should be used and distributed to others in need or known as the recycling concept. This study aims to design a drop box that can collect and distribute suitable clothes by using Persuasive Design approach. Dropbox is used to improve the concept of sustainability of clothing products. The initial stage of the study was an interview to explore the target of user behaviour in using clothes and explore the inhibiting factors experienced by users due to confusion in distributing their used clothes. Affective design approach is chosen by applying tunnelling, reduction and conditioning technology methods. Dropbox design built in a physical and digital display of the product. The product evaluation process using Usability Testing with the results obtained an efficiency rate of 100%, an effectiveness of 90.625%, and a System Usability Score (SUS) of 83.44, showing that the prototype has good usability. In the persuasive aspect, namely effectiveness, quality, and capability, average values of 5.75, 6.125, and 5.958 were obtained. Improvement recommendations are made based on the results of evaluation by respondents, namely make a clear information at drop box product and display improvement.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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