A neuroscience model of human-human interactions (WP2, WP3)

Neuroeconomics combines classical economics and neuroscience to deepen our understanding about the role played by human brain in economic decision-making. Several theoretical models have recognized that decisions made by individuals are widely affected by three factors: the characteristics of the decision, circumstantial-situational factors, and individual differences. Mixed Reality Interfaces (MRET) makes it possible to simulate an environment with better ecological validity and control than previously possible for brain research. The ESR will make use measures of subconscious brain processes through the use of mixed reality technologies (MRET) and advanced social signal processing (EEG, fNIRS, GSR, HV, ET, Voice Analysis and Body Postures) to improve the knowledge that social communication has in human decision-making. The adopted methodology is two-fold. On one hand, It will evaluate the influence that nonverbal behavioral cues have on decision making modulating different aspects of avatars in virtual environments. On the other hand,  it will analyze how different elements present only in “artificial” realities, like rendering psychological states in avatars, will influence decision making. Finally, it will compare virtual immersive reality interfaces vs mixed reality interfaces by designing and conducting experiments in healthy subjects.

Planned secondments: UPISA (2 months) to study the application of machine learning techniques to psychophysiological signals; AMS (2 months) to study fNIRS technologies and UVEG (2 months) to study consumer behaviour models.

Masoud Moghaddasi


Masoud Moghaddasi holds a master in electrical engineering minoring in control. He received his B.Sc. and M.Sc. degrees in electrical engineering from K. N. Toosi University of Technology (KNTU), Iran.

For his master’s project, he worked on signal processing using machine and reinforcement learning algorithms on single electrode data obtained from the rat brain. This interdisciplinary project was launched at K. N. Toosi University of Technology and accomplished in collaboration with Neuroscience Research Center in Shahid Beheshti University of Medical Sciences.

His current research interests include neuroscience, machine learning, deep learning, and applied statistics.




A neuroscience model of human-human interactions (WP2, WP3)​


  •  The ESR will offer new insights into how contextual information influence decision making and how future “artificial” realities will influence human decisions