Perspective Chapter: A Model for Measuring Trust Using BCI in Human-Humanoid Interaction

Trust is a fundamental aspect of human social interaction. With the advancement of technologies, such as brain-computer interface (BCI) systems and humanoids, arises the need for investigating human-humanoid interaction (HHI). A model to interpret BCI data in correlation to cognitive components of trust during this HHI is proposed. This will be presented by first introducing the scope of the trust in social behavior and its role as a cognitive tool for social competence. Second, a cognitive model of trust is presented with an experimental paradigm to test both general and HHI components accordingly. Then an evaluation of P300 and N400 event-related potential (ERP) signals as candidates for the neuro-cognitive markers will be performed. In particular, they will be evaluated for updating one’s cognitive map and detecting a semantic violation during HHI. Finally, there will be a discussion of ERP measurement limitations as well as the prospects of incorporating electroencephalogram (EEG) oscillation (alpha, gamma, and phi) into account within the BCI system design.