Community-Based Data Visualization for Mental Well-being with a Social Robot
R. Karim, Y. Zhang, P. Alves-Oliveira, E. A. Björling, and M. Cakmak, “Community-Based Data Visualization for Mental Well-being with a Social Robot,” in ACM/IEEE International Conference on Human-Robot Interaction (HRI) - Late breaking reports, 2022, pp. 839–843, doi: 10.1109/HRI53351.2022.9889415.
Abstract
Social robots have been used to support mental health. In this work, we explored their potential as community-based tools. Visualizing mood data patterns of a community with a social robot might help the community raise awareness about the emotions people feel and affecting factors from life events. This could potentially lead to adaptation of suitable coping skills enhancing the sense of belonging and support among community members. We present preliminary findings and ongoing plans for this human-robot interaction (HRI) research work on data visualizations supporting community mental health. In a two-day study, twelve participants recruited from a university community engaged with a robot displaying mood data. Given the feedback from the study, we improved the data visualization in the robot to increase accessibility, universality, and usefulness of such visualizations. In the future, we plan on conducting studies with this improved version and deploying a social robot for a community setting.
BibTeX Entry
@inproceedings{karim2022community,
title = {Community-Based Data Visualization for Mental Well-being with a Social Robot},
author = {Karim, Raida and Zhang, Yufei and Alves-Oliveira, Patricia and Bj{\"o}rling, Elin A and Cakmak, Maya},
year = {2022},
booktitle = {ACM/IEEE International Conference on Human-Robot Interaction (HRI) - Late breaking reports},
pages = {839--843},
organization = {IEEE},
type = {late-breaking},
doi = {10.1109/HRI53351.2022.9889415}
}