Track 3: Machine Learning/Deep Learning | Room: 1205
Saeed Esmaili, Assistant Professor, Harrisburg University;
Siamak Aram, Assistant Professor, Harrisburg University;
Roozbeh Sadeghian, Assistant Professor, Harrisburg University
The study focuses on the information gathered by Functional Near-infrared Spectroscopy (fNIRS) and Iowa Gambling Task (IGT) to study how prefrontal cortex brain activation and gaming addiction correlate. This will give the primary results for the hypothesis on how the choices one makes in real life are connected to the prefrontal cortex’s hemodynamic changes, which are tied to the decision a person makes. As a pilot study, we are investigating brain activity using fNIRS to identify the characteristics of addictive behavior in gaming and e-sports.
Using both approaches, IGT and fNIRS gives us a new mechanism that enables us to make more accurate characterizations of the link between a person’s decision-making abilities, their hemodynamic factors, and the responses recorded for each patient during this experiment.
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