iv4XR

"Extended Reality" (XR) systems have emerged in various domains, ranging from entertainment to combat training and mission-critical applications. The development and authoring of these complex systems are highly iterative. As these systems' complexity increases, the XR industry finds itself confronting an engineering challenge: paradoxically, XR's fine-grained and high level of interactivity and realism make such systems very hard and expensive to test. This project aims to build a novel verification and validation technology for XR systems based on AI techniques to provide learning and reasoning over a virtual world. With this technology, XR developers can deploy powerful test agents to automatically explore and test their virtual worlds' correct parameters as they iteratively develop and refine them. We will also develop socio-emotional AI to enable test agents to conduct an automated assessment of the quality of user experience and parameterization by different demographic and socio-economic types.