Application Domains
Training & Assessment
The key benefit of XR data capturing during XR training or assessment is that it allows for more accurate and detailed understanding of a user's performance. For example, in a virtual reality training simulation, a user's movements, gaze patterns, interactions, and decisions can be tracked and analyzed in real-time. This can provide a more complete picture of the user's abilities and strengths, as well as areas where they may need additional training or support.
Other benefits of XR data capturing include:
Personalized feedback and guidance. For example, if a user is struggling with a particular task or skill, the XR system can provide targeted instructions or guidance to help them improve.
Optimization of the overall design and effectiveness of training programs. By analyzing data from multiple users, trainers can identify common challenges and areas for improvement, and make adjustments to the program accordingly.
Product Design & Engineering
Products are too often “pushed by technology”, without identifying the user's needs and engaging in extensive "user testing" with initial prototypes. "User testing" is the process in which potential users of a (new) produc or service are exposed to different scenarios in which interactions between the user(s) and the product take place, in order to optimize the user experience (ease of use, usability learning effect, performance,...).
Currently, the problem is that good user testing usually involves a high cost both in time and money and is therefore mainly conducted only by large companies. Why?
It is difficult to test users remotely and there is a need for physical spaces, physical prototypes and physical people to mimic an "experience" (and thus high cost in staff working hours).
It takes a lot of time for a human observer to manually annotate "events" during user testing.
Post-hoc synchronization of sensor data can be tedious.
However, the use of virtual, digital spaces, objects and avatars in combination with our data analytics platform creates the possibility of simulating a large number of prototypes or experiences in an infinite possible number of contexts.
Digital Twins
A digital twin is a digital representation of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.
In addition to this digital respresentation, a so-called “digital experience twin” can be a great tool to conduct UX & usability research when new technologies are developed, in which the human operator or observer still plays a crucial role. Before getting to the development phase, initial prototypes can be simulated in the digital experience twin, allowing iterative design before going to physical prototyping. In addition, the digital “experience” twin can be used to generate dummy data or training data for all kinds of sensors, without losing the ecological validity of the human behavior.