Results + Analysis of the interviews

We asked 20 people (12 male / 8 female) questions via facebook about both their mall shopping habits and their online shopping habits. Below you will find the results of the survey and how these answers will influence our project.


As we posted our survey on Facebook, the age range of the interviewees is mostly 18-25 years old. However this is not an issue, as it is the age range most prone to online shopping.

Our first finding was that over half of the interviewees go less than once a month in a shopping mall or to a store to buy clothes. As for online shopping, over 75% of the interviewees do it less than once a month. So all in all, shopping in a store or in a mall is still the first option as to where to shop for clothes.

80% of the interviewees spend less than 30 minutes in a specific store and of those 80%, 30% spend less than 15 minutes.

Over ⅔ of the interviewees have at least a vague idea of what they are going to buy when they enter a store.

However when asked about how they would rate their shopping experience, the interviewees had mixed feelings (average rating of 3.5/5)

On the one hand they really appreciate the fact that you can touch the fabric/textile, try it on, put it back if it doesn’t fit. They also enjoy the fact you can be surprised when walking in front of a store and seeing a clothing item that is appealing to you. However on the other hand they dislike the lack of choice of clothes and clothes sizes in stores, and the fact that it is very time consuming to go store shopping. Moreover we also had some interviewees telling us that they dislike being “harassed” by vendors as soon as they walk in a store. Finally queuing in line is also a big issue for them.


90% of the interviewees have already tried online clothes shopping.

The average rating for online shopping is 3.4/5. So it is roughly the same as for the mall shopping experience. 

What people enjoy the most about shopping online is that it’s fast, easy, very convenient and you can compare different clothes/brands at the same time. Furthermore the word that came out the most out of the interviewees’ responses is “choice” when it comes to online shopping. And this is perhaps why it is the most appealing.  However they find frustrating the fact that you can’t try on the clothes and that you run the risk of having to return the piece of clothing if it doesn’t fit you. Lastly people don’t like the fact that you don’t have physically the clothes right after you purchase them but you have to wait for the delivery. As for this last issue, our project will not be able to solve it but delivery times are getting shorter so it is becoming less and less of an issue.    

When we asked the interviewees if they were satisfied with the clothes they bought online, we found out that a very large proportion of the people (78%) who had already tried online shopping have gone through both good and bad experiences

Only 15% of the interviewees have always been satisfied with the products they bought online.

78% of the interviewees have already returned a piece of clothing bought online, and of those 78%, 50% have done it more than once. These numbers explain why the rating for the online shopping experience is so low. 

This result comforted us in our choice to develop a service that could enable you to virtually try on the clothes, so you could verify that it fits you before buying it. 

66% of the reasons why these people returned a piece of clothing is size/fit.

The rest of the returns were because of a manufacturing defect or other various reasons.

Finally, we asked the interviewees if they would be willing to do a body scan in their underwear to improve their shopping experience, 80% agreed however some were concerned with the security of the system and their personal information being leaked.

Research on virtual fitting room solutions

Here’s an interesting article on the subject of virtual dressing rooms : https://www.digitalpulse.pwc.com.au/virtual-dressing-rooms/

http://qz.com/497259/could-3d-body-scanning-mean-never-entering-another-dressing-room-again/

Virtual fitting rooms/mirrors using Kinect technology :

You need a kinect or an asus xtion pro live (cameras with gesture recognition). You can use it for fitting rooms, shopping windows/ exhibitions etc..

  • Zugara fitting room

http://zugara.com/virtual-dressing-room-technology/virtual-style-sense 2014

VSS allows shoppers to digitally view different colors and styles of items in a display

  • Adidas interactive fitting room

http://retail-innovation.com/adidas-body-scanner-lets-you-try-clothes-on-virtually/

”BodyKinectizer“ is a body scanner based on Microsoft Kinect which enables customers to determine the right size of a product and allows them to dress their virtual body – whether you in a shop or at home. In addition to the in store version, Adidas have also built a version for use within the customer’s home.

Companies using Body scanning

  • Bodymetrics fitting room

Example at Bloomingdale’s in Palo Alto (2012): https://vimeo.com/62030462

2161-bodymetrics-pod-at-bloomingdales_interior

A customer can get scanned in a store, and software compares the measurements with the exact dimensions of garments, to find a perfect fit. The customer can then potentially shop on any of the retail sites partnered with 3D-scanning company, using the profile made in-store

  • Acustom apparel (US) : “Acustom Apparel is a revolutionary new way to build your wardrobe. Using our digital measuring technologies, we gather 2,000,000 data points to create your 3D body model. These measurements (along with your fit preferences) are fed into our proprietary Digital Bespoke algorithms to help create the best fitting shirts and suits in your wardrobe.”

https://acustom.com/pages/theacustomexperience

  • Me-ality exists since the mid-2000’s

http://www.me-ality.com/fit-solutions/size-matching-station

This company offers two different sizing options:

1. Body scanning (over 200,000 body dimensional data points are collected in just 10 seconds + the user remains fully clothed during process)

2. Sizing application which applies advanced algorithms to determine clothing and size recommendations from a database of select products. 

  • Bodi.me : A company similar to me-ality called Bodi.me offers the same kind of services http://bodi.me/3 options are presented to you : manual measurement, Computational measurement or a 3D body scan at a scanning booth
  • Go!Scan “Portable” 3D bodyscan 

https://www.goscan3d.com/en/applications/human-body-scanning

The Go!SCAN 3D scanners offer possibilities for scanning the human body. Due to their portability and real-time results, these scanners make it easy to capture the shapes of the body. The whole body can be scanned, or only parts of it depending on the application. (product description on the website). However 30min of scanning + 1hr of postprocessing is required.

go-scan-20-500x500.jpg (500×479)

Use your measurements to create an online avatar of yourself

  • Fits me -> Using information such as body shape, fit preference, purchase history, and returns data we get a complete understanding of how shoppers prefer the fit of their clothes.

No body scan used here, http://fits.me/fit-origin/ -> You see your measurement and then, with the help of big data and complex algorithms,the website/app determines your perfect fit.

triMirror uses the actual designs, measurements, grading rules, textures, and fabric properties of the individual garments – all efficiently modelled in 3D and realistically physically simulated. It then uses real-time clothing simulation to stream the animated virtual fitting experience from the cloud to the user’s browser, no matter the platform and be it computer- or mobile-based, without any downloading or buffering”

The technology can compose 3D models of clothing from “photos, pattern files and other sources and simulates the behaviour of the garments”, according to eBay. It adds that consumers could see how clothes “fit, look and move in different environments without actually having to try them on”.

All you’ll need to do is type in your measurements, and then a 3D model will appear with whatever garment you choose. You’ll even be able to view the clothes in different scenarios, such as walking down the street, rather than just standing in a room.

https://www.youtube.com/watch?v=tCClm2bSdPg

Virtual Stylist – Description of the project

Project 1 : Virtual Stylist

Group Members : Danni, Skye, Florent

Description of the project

Buying clothes can take up a lot of time, and while some people like to go to stores and try out clothes, some people would rather just be done with it. Also the surge in online shopping, shows that a lot of people like to do their shopping on a screen.

The idea is to propose an on-screen experience that would enable you to try out different outfits without having to go around for hours looking for clothes. This service could be accessible direct from your home, to improve the online shopping experience and removing the stress of not being able to try it on before buying it. 

Extra features might be that there could be suggestions based on your current clothes, what other people who have looked at the same clothes as you have bought, and other features already on the online sites.