Virtual Showroom Using Augmented Reality

Abstract

In general, technology can benefit people's lives. For example, during the past 20 years, with the development of computer and Internet technology, e-commerce and online shopping have rapidly progressed, due to the convenience that they provide consumers. E-commerce websites, such as Amazon.com, Dell.com, and eBay.com, have become an integral part of many shoppers’ lives. However, according to most shoppers’ experiences, e-commerce and online shopping are still not able to fully replace onsite shopping, especially for products like clothing, shoes, jewellery, and furniture. For many such products, onsite shopping has many distinct advantages over online shopping. One of the main advantages of onsite shopping is that it usually provides more direct interaction with the actual product. In contrast, conventional online shopping websites often cannot provide enough information about a product for the customer to make an informed decision before checkout. Onsite shoppers frequently engage in some sort of interaction with their potential purchase to discover the scent, texture, appearance, and/or sound characteristics of a product before buying it. Such experience is often impossible with current online purchases. However, technology is progressing. In particular, Augmented Reality (AR), an emerging Human-Computer Interaction technology, which aims to mix or overlap computer generated 2D or 3D virtual objects and other feedback with real world scenes, shows great potential for enhancing e-commerce systems. Unlike VR, which replaces the physical world, AR enhances physical reality by integrating virtual objects into the physical world. The virtual object becomes, in a sense, an equal part of the natural environment. This paper presents a new type of e-commerce system, AR ecommerce, which visually brings virtual products into real physical environments for user interaction. The new approach gives customers a chance to “try" a product at home or in another use environment. The paper presents development of a prototype AR e-commerce system and a user study of the developed prototype. Experiment results and data both validate the new AR e-commerce system and provide suggestions for improvement. Overall results of the study show that the AR ecommerce system can help customers make better purchasing decisions.

Authors and Affiliations

Amit Pitambare, Shubham Somani, Chaitanya Sable, Kunal Shelke

Keywords

Related Articles

Analysis of Multicloud Priority Based Job Scheduling For Loosely Coupled Tasks

Cloud computing technologies can offer important benefits for IT organizations and data centers running MTC applications: elasticity and rapid provisioning, reduced capital costs, access to potentially unlimited resourc...

Adjacent Contiguous Categorization over Semantically Secured Records

Data Mining has large applications in many areas such as banking, medicine, scientific research and among government agencies. But due to the rise of many security issues, many theoretical and practical solutions to the...

Direct Torque Control of BLDC Drives for Electrical Vehicle Application

Brushless DC (BLDC) motors are commonly used for several industrial applications because of their small size, high torque and high efficiency . This paper presents a Direct torque Control of brushless DC (BLDC) drive by...

Trust Based Novel Recommendation Regularized with Item Ratings

Recommendation is an opinion given by an analyst to his/her client whether the given stock is worth buying or a particular place is worth visiting or not. They use various projections as a basis for issuing recommendati...

PCA-Recommend: Increasing Trust on Recommendation models using the Similarity prediction on User rating and Item Rating

The recommendation modelling is challenging issue in the research of collaborative filtering model by integrating the user rating and item rating from the different source with rating sparsity and high dimensional struc...

Download PDF file
  • EP ID EP19823
  • DOI -
  • Views 348
  • Downloads 4

How To Cite

Amit Pitambare, Shubham Somani, Chaitanya Sable, Kunal Shelke (2015). Virtual Showroom Using Augmented Reality. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(3), -. https://europub.co.uk./articles/-A-19823