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Social Interfaces in Teleoperation (2019)

Social Interfaces in Teleoperation (2019)

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).

Project Publications

Backseat Teleoperator: affective feedback with on-screen agents to influence teleoperation

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.

Collaborators

Daniel J. Rea

Daniel J. Rea

PhD Student
James E.Young

James E.Young

Associate Professor