[DC] Data-Driven Expertise Assessment in XR: Analyzing Multimodal Sensor Data for Psychomotor and Cognitive Tasks

In this doctoral research, a novel approach is developed for the real-time assessment of user expertise, focusing on skill-based and cognitive tasks within Extended Reality (XR) environments. This approach combines advanced user modeling with state-of-the-art sensors and includes an in-depth analysis of gaze behavior and physiological responses. A distinctive aspect of this research is the real-time analysis of multimodal sensor data, which provides deeper and more precise insights into user skills and cognitive abilities. The goal is to advance the field of expertise assessment by introducing a nuanced and dynamic perspective that is suitable for a variety of applications across different domains. This research aims to establish new standards in the assessment of user expertise, meeting the evolving needs of modern educational and professional settings.