The participants had 4 days to answer the survey. It took about 10 minutes to complete the questions. The survey was completely anonymous and the participants were informed about the storage of their data and the details of the survey and had to accept this.
Demographic data were included as standard in order to get a more accurate picture of the participants and to be able to correctly classify the subsequent questions. the current work situation and income were also important here in order to be able to better classify buying behaviour in furniture shops.
In this category, the general buying behaviour of the participants is to be assessed.
A general question to get a first impression of the person. The aim of the system is to satisfy people who prefer to order online as well as those who shop in local shops and to encourage them to make a purchase.
Specifies the general purchasing behaviour of users in relation to furniture
This question aims to get an initial assessment of which furniture brands to talk to first in order to agree on a possible partnership.
This category focuses more on the habits and wishes of the participants when buying furniture. the insights gained from this could result in requirements for the system that could later significantly improve the user’s operation of the system.
A very open question. Here, the participants can record their own wishes and needs. these could later be standardised and used to form concrete requirements.
The configurability of the furniture in the system is one of the central requirements of our investors. this question is intended to show how important this configurability is to the end customer in particular.
Another crucial point for the creation of the system is that money can be saved by reducing the number of returns, as the end customers can view the items on site.
The system is also intended to reduce the time spent looking for new pieces of furniture. although the end customer should have fun discovering new furniture and be encouraged to buy, he or she should not need any longer than usual to select specific pieces of furniture.
AR is not yet the standard in all devices of the end customers. furthermore, many people are not yet familiar with the technology.
A very specific question, if there is already the wish of the end customer to look at special furniture in ar. this could help in the selection of standard furniture in the selection.
Would end customers not only try the products they see but also order them through the system?
Privacy is an important issue that should be taken into account when planning the system. if the end users state here that they would not scan their rooms, even more attention needs to be paid to this very security and possibly a way to use the application without the camera.
Another general question about the desired functions of such an app
The demographics of the results show that the majority of the participants are exactly in the range we wanted to reach with this survey. Students aged between 18 and 34 years. It also shows that the majority have a below average salary and prefer to shop in a webshop. It is also important to note that most of the participants consider the configurability of the furniture to be important and that furniture has often been returned. Furthermore, not many participants have used an AR tool yet, but would like to try it out in the future, but also have concerns about privacy.
In order to gain further insights from the data, more detailed analyses would have to be carried out with the results, which do not fit into the scope of this project.