Human-Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending

We study the human-robot interaction of financial-advising services in peer-to peer lending (P2P). Many crowdfunding platforms have started using robo-advisors to help lenders augment their intelligence in P2P loan investments. Collaborating with one of the leading P2P companies, we examine how investors use robo-advisors and how the human adjustment of robo-advisor usage affects investment performance. Our analyses show that, somewhat surprisingly, investors who need more help from robo-advisors-that is, those encountered more defaults in their manual investing-are less likely to adopt such services. Investors tend to adjust their usage of the service in reaction to recent robo-advisor performance. However, interestingly, these human-in-the-loop interferences often lead to inferior performance.

Automated summary

The study found that investors who need more help from robo-advisors are actually less likely to adopt such services, and investors tend to adjust their usage based on the recent performance of robo-advisors, however, these human-in-the-loop interferences often lead to inferior performance.