Neural Correlates of Variations in Human Trust in Human-like Machines during Non-reciprocal Interactions.

ABSTRACT: As intelligent machines have become widespread in various applications, it has become increasingly important to operate them efficiently. Monitoring human operators' trust is required for productive interactions between humans and machines. However, neurocognitive understanding of human trust in machines is limited. In this study, we analysed human behaviours and electroencephalograms (EEGs) obtained during non-reciprocal human-machine interactions. Human subjects supervised their partner agents by monitoring and intervening in the agents' actions in this non-reciprocal interaction, which reflected practical uses of autonomous or smart systems. Furthermore, we diversified the agents with external and internal human-like factors to understand the influence of anthropomorphism of machine age

SUBMITTER: Jung ES 

PROVIDER: S-EPMC6620272 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature