Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development

Abstract

Telepresence robots could help homebound students to be physically embodied and socially connected in the classroom. However, most telepresence robots do not provide their operators with information about whether their speaking volume is appropriate in the remote context. We are investigating how operators could benefit from live feedback about speaking volume appropriateness as part of our ongoing research on using remote presence robots to improve education and social connectedness for students experiencing extended absences from school. This preliminary report describes (1) the development of a model of speaking volume appropriateness to provide this feedback,(2) implementation of a feedback element in the operator’s user interface, and (3) plans for long-term deployment to assess impacts on the social and educational experience of homebound high school students.

Publication
Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Yulun Zhang
Yulun Zhang
Master’s Student

My research interests include Evolutionary Computation, Human-Robot Interaction, and Reinforcement Learning.