Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study.

ABSTRACT: With new technological advances, advice can come from different sources such as machines or humans, but how individuals respond to such advice and the neural correlates involved need to be better understood. We combined functional MRI and multivariate Granger causality analysis with an X-ray luggage-screening task to investigate the neural basis and corresponding effective connectivity involved with advice utilization from agents framed as experts. Participants were asked to accept or reject good or bad advice from a human or machine agent with low reliability (high false alarm rate). We showed that unreliable advice decreased performance overall and participants interacting with the human agent had a greater depreciation of advice utilization during bad advice compared to the machine agen

SUBMITTER: Goodyear K 

PROVIDER: S-EPMC5095979 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature