Trust Development and Repair in Human-Robot Teams

Conference paper (2017)

Authors

Ewart J. de Visser George Mason University
Richard Pak Clemson University
M.A. Neerincx Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Trust repair Trust in autonomy Long-term human-robot relationships Mixed-initiative teaming
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Published Date

2017-3

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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.