## 3 Results and Discussion
### Implementation and Testing of the Proposed Method and Prototype Evaluation  
DSR includes gathering evidence that the artifact is useful, meaning that the artifact works and does what it is intended to do [19]. Thus, the prototype evaluation allowed us to verify if the planned features worked correctly and an experiment was carried out to discover possible problems and propose improvements.  
The experiment involved a pilot project for industrial training in the metaverse. After exporting the application, it was necessary to start the executable and follow a tutorial to choose an avatar. One of the users created a room for the peer-to-peer system to work, and other users were able to connect and converse through the Vivox voice system. The user who hosted the room was also able to select other environments in the metaverse, including the hydraulic press training scenario. Figure 23 illustrates the experiment.  
The experiment produced satisfying results, demonstrating that the project developed using the method worked as intended without connection or voice issues.  
Figure 22: Unreal Engine 4 package project feature.  
Application of the Proposed Method with Metaverse Developers to Verify Its Applicability and Prototype Validation  
Then, a survey was developed to find out from other developers whether the proposed method is understandable. The method and the questionnaire were provided to the participants, who were game engines experts. The authors of Ref. [43] observed the following issues: the amount of time volunteers spend working with the software; the type of gaming engine they are using; the level of their familiarity with the gaming engine; whether they have already developed any multiplayer applications; the degree to which volunteers were able to understand the method used; whether they are capable of reproducing the findings after reading the method; and whether they are capable of doing so.  
Every interviewee was required to have a basic understanding of the game engine Unreal Engine [43]. Due to asking them about their usage period, it was possible to conduct an individual analysis and determine that there is a connection between the usage period and the technical concept. It was shown that most volunteers are above the median in terms of their level of understanding of the game engine that is being used.  
In response to the question about developing multiuser applications, 85.7% of the volunteers said they have never developed such a program, which made it easier to evaluate the method suggested in this article generally. Most participants affirmed that the method is understandable and that they would be able to reproduce it. Conducting an individual analysis, it was possible to see that users with only one to six months of experience using game engines were able to understand the method. It is important to note that the timeline for developing immersive metaverses for industrial training may vary depending on the complexity of the project and the experience of the development team and may take several days up to a few weeks, especially if the 3D CAD models are available and the user interface design is defined well.  
Figure 23: Metaverse pilot project for industrial training.