An Android App Using Virtual Trial Room to Minimize Clothing Perceived Risks of Buyers

Abstract

Haider Mustafa

The world is moving on the clothing mobile application shopping applications, especially during the pandemic COVID 19 days there seems to be an excessive demand for online shopping. Online shopping applications that provide an approach to buying a product of your choice with the least effort also involve some of the risk factors, especially in the psychological environment of the developing county like Pakistan, where people have a minor trust factor and prefer to touch, use and see the personalized appearance before buying the item. This behavior seems to be more regressive when it comes to shopping in terms of clothing. People prefer to wear the items, match the colors, and check if it suits their personality. Online shopping seems to lack this customer approach, especially in developing countries like Pakistan. There has always been fear and, at the same time, a trust factor. A virtual trial room is an alternative approach where a user can virtually try the clothes on the body after providing the complete image to the system and then try different color combinations, different fabrics, and matching the contrast. Using an Image processing machine learning approach, a methodology is proposed to judge this behavior of the customer after trying the clothes on personal appearance virtually and evaluate the results after comparing them with buying behavior of the user in a simple online application and the online mobile application containing the virtual trial room model. Furthermore, studies have the Virtual trial room model as a productive model in the online shopping experience. Following the described methodology in mobile clothing mobile application, it is expected to gain the utmost trust after eliminating buying risks associated with online shopping.

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