Abstract
Furniture shopping, when done in the traditional way, is a time-consuming task. A lot of time and effort is put to check different furniture items from different stores, and to make sure that these items match together. We propose an Augmented Reality based mobile application for furniture shopping. The main objective of the proposed application is to enhance users experience while shopping for furniture. We incorporate state-of-the-art technologies that enable interaction with the physical and virtual environment simultaneously. The proposed application allows users to view items from different stores, as well as 'try' them before buying using AR. Thus, users can choose the right color, shape and size while they are sitting at home. In this work, we followed the waterfall software engineering model and described each main component. Specifically, details of requirement gathering, software design and implementation, and software testing are presented here. The proposed application was implemented using Vuforia. The software testing verified and validated the developed application, and the results were compared in light of related work. For future work, we aim to further improve the users experience in furniture shopping by incorporating more state-of-the-art techniques, such as an AI-based shopping assistant or an ML-based recommender system.