Social Interfaces in Teleoperation
Social Human-Robot Interaction has demonstrated that people are very good at understanding social signals from robots. Use of these social signals has improved the interaction experience, and can be used as additional bandwidth to communicate robot state. In this project, we investigate how social signals can be used in teleoperation interfaces to support an opertor by improving their performance and mental state (fatigue, emotions, etc).
Daniel J. Rea, James E. Young, "Backseat Teleoperator: affective feedback with on-screen agents to influence teleoperation." The ACM/IEEE International Conference on Human-Robot Interaction (HRI'19). ACM/IEEE. 2019.