This project involves measuring workload and emotion while participants view music videos. Uses the DEAP dataset as stimuli and machine learning on cognitive data to develop classification models for new brain states.
Working on a database that will enable researchers in the lab to share data for cross-experimental analysis. The long term goal is to have a database that will support automated hypothesis testing and model development, including integration with systems that algorithmically scan the literature for hypotheses to test.
My project has 3 experiments in an investigation of the overall neural activity of change in state suspicion (CISS). Instant messaging between partners, fNIRS measurement of state suspicion, and an experiment conducted online with authentic and fake phishing websites.
We investigated U.S. Army helicopter pilots’ perceptions of autonomous systems. The goal is to help the VTD identify core considerations related to the integration of the Artificial Intelligence system they are developing into future helicopters.
The meditation project involves using fNIRS to detect differences in brain state of individuals meditating. A collaboration with Hamilton State College faculty and students, the meditation experiment is aimed at assessing the effects of meditative states on the brain. Longitudinal studies with vulnerable populations such as trauma victims, veterans, and other local individuals is part of future work.
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