Empirical study of the usability and interactivity of an augmented-reality dressing mirror
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In recent years, “selfies” have become popular around the world, and this has resulted in many makeup apps on Google’s Android and Apple’s iOS app stores. However, makeup apps can only detect users’ faces and then place makeup on part of the face or add some effects. In the Google/Apple stores, some apparel marketing companies have provided apps for consumers to give some advice on the products they can wear. However, there has yet to be an application that provides help with taking pictures and saving images in a library to show consumers’ dressing styles. This study designed an application to provide people with their dress styles, and we named it “Selfie Mirror”. We also conducted a questionnaire of users’ perception of functionality and interface for future revisions.
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