Neurophysiological insights into sequential decision-making: exploring the secretary problem through ERPs and TBR...

Area of Science:

• Cognitive Neuroscience
• Decision Science
• Neuroeconomics

Background:

• Decision-making under uncertainty is a key aspect of human cognition.
• The secretary problem is a classic model for optimal stopping decisions.
• Cognitive overload can impact decision-making processes.

Purpose of the Study:

• To investigate neurophysiological responses during sequential decision-making under simulated cognitive overload.
• To analyze Event-Related Potentials (ERPs) P200 and P400, and Theta to Beta Ratio (TBR) dynamics.
• To correlate neural activity with evolving decision-making strategies.

Main Methods:

• 27 students participated in a secretary problem simulation.
• Electroencephalography (EEG) was used to monitor brain activity.
• Analysis focused on P200, P400 components, and Theta to Beta Ratio (TBR).

Main Results:

• P200 amplitude decreased initially then increased at the final offer, indicating fluctuating attention.
• P400 amplitude peaked mid-task, suggesting increased cognitive evaluation.
• TBR dynamics showed variations in attentional control and emotional regulation.

Conclusions:

• Neurophysiological markers dynamically change during sequential decision-making under uncertainty.
• Findings provide insights into cognitive strategies, from alertness to evaluation.
• Results may inform decision-making frameworks using neurophysiological data.