Using EEG signal to analyze IS decision making cognitive processes

Abstract

In this paper, we demonstrate how electroencephalograph (EEG) signals can be used to analyze people’s mental states while engaging in cognitive processes during IS decision-making. We design an experiment in which participants are required to complete several cognitive tasks with various cognitive demands and under various stress levels. We collect their EEG signals as they perform the tasks and analyze those signals to infer their mental state (e.g., relaxation level and stress level) based on their EEG signal power.