Robot confidence and trust alignment

Authors:
Poornima Kaniarasu;Aaron Steinfeld;Munjal Desai;Holly Yanco
Affiliations:
Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;University of Massachusetts Lowell, Lowell, MA, USA;University of Massachusetts Lowell, Lowell, MA, USA
Venue:
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Year:
2013

Citing 3
Cited 0

Robots in organizations: the role of workflow, social, and environmental factors in human-robot interaction

Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Effects of changing reliability on trust of robot systems

HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Potential measures for detecting trust changes

HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

Trust in automation plays a crucial role in human-robot interaction and usually varies during interactions. In scenarios of shared control, the ideal pattern is for the user's real-time trust in the robot to align with robot performance. This should lead to an increased overall efficiency of the system by limiting under-trust and over-trust. However, users sometimes display incorrect trust and the ability to detect and alter user trust is important. This paper describes measures for real-time trust alignment.