Our methodology centered around three main parts: Reward Based Risk Simulation, EEG Signal Collection, and Signal Processing Techniques. Click on each title for further detail!

Reward Based Risk Simulation

To elicit feelings of risk, participants will partake in a reward based risk simulation. The simulation consists of 8 face down playing cards in a row with a $25 gift certificate located after the eighth card. The first card will be flipped over revealing the value and the participant will be asked if the next card drawn from the deck is higher or lower and how likely it is they are correct on a scale from 1-9, with 9 being 100% certain and 1 having 0% certainty. A card is then drawn from the deck. If the participant guessed correctly the process is repeated with the next card in the row until they win the simulation and the gift card. If not, the simulation ends but they are allowed to repeat the simulation one more time with a different set of 8 playing cards.

EEG Signal Collection

Participants wore a Muse headband throughout the duration of the experiment which recorded their brain waves in four channels: Left/Right Frontal Parietal and Left/Right Temporal Parietal. Before the experiment began the headset was calibrated with a phone application to ensure proper placement of the headset and that the signals were strong. Following calibration, the headset was paired to the lab computer to record brainwaves as data throughout the experiment.

Signal Processing Techniques

After successfully collecting EEG data, it was necessary to create spectrograms to begin analyzing the data. This was first done by resampling the data, since the Muse headset did not record with a consistent sampling rate – which is necessary for creating spectrograms. After the data was resampled, we utilized Matlab’s spectrogram function to create spectrograms.