Graduation Year
2024
Document Type
Thesis
Degree
M.S.C.S.
Degree Name
MS in Computer Science (M.S.C.S.)
Degree Granting Department
Computer Science and Engineering
Major Professor
Marvin Andujar, Ph.D.
Committee Member
Shaun Canavan, Ph.D.
Committee Member
Tempestt Neal, Ph.D.
Keywords
BCI, EEG, Drone-simulation, Attention-retention
Abstract
In contemporary society, individuals are continuously exposed to a plethora of stimuli, which can precipitate distractions and impede cognitive performance in tasks such as professional work and academic studies. This investigation proposes an innovative approach aimed at enhancing attentional focus through the utilization of Brain-Computer Interfaces (BCI). BCIs represent advanced methodologies for deciphering neural activity patterns. Specifically,electroencephalography (EEG), a technique for monitoring the brain's electrical signals, serves as the foundation for BCI applications. EEG analyses reveal distinctive wave patterns indicative of states of concentration, vigilance, and cognitive engagement. Consequently, BCIs hold promise for the real-time assessment of users' attentional states.
This study explores the efficacy of integrating visual feedback, in the form of a gamified virtual environment, as a strategy to bolster attentional retention. BCI Drone Simulation (BDS), an application of BCI technology, enables users to manipulate a virtual drone solely through their EEG signals, eliminating the need for conventional physical controllers. The primary objective of this investigation is to determine whether BDS can foster enhanced attentional retention among college students.
The baseline EEG of participants was recorded at the commencement of the experiment. Subsequently, participants underwent motor imagery (MI) training, which included both neutral and push commands. During the BDS task, subjects controlled the drone while their EEG data was continuously recorded. A comparative analysis between the baseline EEG and the EEG data collected during the BDS indicated an increase in participants' attention levels as they engaged with the BDS.
Scholar Commons Citation
Bae, Ji Won, "Improving College Students’ Attention Retention with a Brain-Controlled Drone Simulation" (2024). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/10593
