A Preliminary Study on Human Trust Measurements by EEG for Human-Machine Interactions

Abstract

We propose a novel experiment paradigm to measure human trust on machine during a collaborative and egoistic theory-of-mind game. To show a different level of human trust on machine partners, we control the technical capability and humanlike cues of the autonomous agent in the cognitive experiments while recording participant's electroencephalography (EEG). The measured human trust values at various situations will be used to develop a dynamic trust model for efficient human-machine systems.