Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions
Abstract
Materials
Bibtex
@inproceedings{arcega2026investigating,
title={Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions},
author={Arcega, Bea Alexis and Campos, Annika Dominique S and Cruz, Kathleen Therese and Toledo, Aaron Ace and Samson, Briane Paul V},
booktitle={Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems},
pages={1--6},
year={2026}
}
Citation
Bea Alexis Arcega, Annika Dominique S Campos, Kathleen Therese Cruz, Aaron Ace Toledo & Briane Paul V Samson (2026). Investigating Effective Uncertainty Visualizations for Ordinal Crowdsourced Data of Crowding Conditions. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 1–6.