Trust Development and Repair in Human-Robot Teams

Abstract

This paper is a call to the field of human-robot interaction to focus research efforts on the development and repair of trust within human-robot teams. To guide this effort, this paper describes the initial development of a framework for trust development in human-robot interaction research with a specific focus on trust repair. This framework identifies several unique trust-dyads within an example domain of Urban Search and Rescue Operations (USAR) that are suitable relationships for study. We conclude with several areas of research that should be addressed under a trust repair framework including trust measurement, model development and validation, mutual dynamic trust calibration, and long term trust development.