Biosignal-based Adaptive eXtended Reality


De Benedetto Egidio De Benedetto

Egidio De Benedetto

DIETI, University of Naples Federico II

Moccaldi Nicola Moccaldi

Nicola Moccaldi

DIETI, University of Naples Federico II


Although the XR community has emphasized sensorimotor contingency as the preeminent factor for presence, neuroscience research shows that factors such as multiperceptual integration of body signals, action, and embodiment are also critical to generating XR experiences. Understanding how to construct enhanced embodied XR experiences is also important for developing future XR-based applications. Cognitive and emotional conditions can be monitored in real time, including leveraging the use of artificial intelligence, applied to electroencephalographic signals and biological signals more generally. Wearable devices are increasingly enabling the acquisition of signals in daily life, at work, or in health care. From this perspective, monitoring mental states and multimodal analysis of biosignals can contribute to the creation of adaptive applications based on extended reality.


Topics of interest include, but are not limited to, the following:

  • XR&BCI-based bio-neurofeedback trainings;
  • Data fusion for Immersive Environments Adaptivity;
  • Adaptive, real-time learning environment;
  • Affective Computing;
  • XR for mental training in sports and business;
  • XR for psychological wellbeing;
  • Human Computer Symbiosis.


Egidio De Benedetto is an Associate Professor in Electric and Electronic Measurements with the Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy. He has been with the Institute of Microelectronics and Microsystems, Italy, from 2010 to 2012. From 2012 to 2019, he has been a Research Fellow with the Department of Engineering for Innovation, University of Salento. His current research interests include the dielectric characterization of materials, microwave reflectometry systems for monitoring applications, 4.0-based measurement systems, cyber-physical measurement systems, sustainability, biomedical applications of machine learning, and measurements for augmented reality systems. He is member of the editorial boards of several scientific journals and a reviewer for EU projects.

Nicola Moccaldi received an M.A. degree in Communication Science at the University of Salerno, an M.Sc. degree in Electronic Engineering, and a Ph.D. in Information Technologies and Electrical Engineering at the University of Naples Federico II. He is responsible for the Passive Brain-Computer Interface research line of Augmented Reality for Health Monitoring Laboratory (ARHeMLab) of Federico II the University of Naples. He conducts studies based on the use of electroencephalography to measure emotion, attention, stress, and engagement.