article · 2023
BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor
Cited by 2Abstract and details only
Abstract
Our modern work environment and society often faces a serious problem of workplace stress which is frequently undetected until it leads to numerous health challenges and negatively impacts productivity. Current research in this field highlights workplace stress reflection and awareness using collective visualization. This paper focuses on the design of BallBounce a workplace biofeedback system that collects continuous time-domain measures of office workers’ physiological data, calculates cortisol level changes through measuring skin conductance and use p5.js, a processing software JavaScript variant to visualize collective stress data anonymously aimed at decreasing the physiological stress experienced in the context of Spatial User Interfaces by office workers and spark ideas of stress-relieving measures. This work makes a contribution to the spatial interaction design for well-being by the development of an unobtrusive, pervasive early stress detection system in organizations which can have a positive impact on both the health of employees and the collective atmosphere of enterprises.
Cite this paper
Nkem, D., & Xue, M. (2023). BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor. https://doi.org/10.1145/3607822.3616417
Nkem, David, and Mengru Xue. “BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor.” 2023, pp. 1–5, https://doi.org/10.1145/3607822.3616417.
Nkem, David, and Mengru Xue. 2023. “BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor.” https://doi.org/10.1145/3607822.3616417.
Nkem, D. and Xue, M. (2023) ‘BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor’. Available at: https://doi.org/10.1145/3607822.3616417.
@article{nkem2023ballbounce,
title = {{BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor}},
author = {Nkem, David and Xue, Mengru},
pages = {1--5},
year = {2023},
doi = {10.1145/3607822.3616417}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.