On the Importance of Visualisation in a Data Driven Society

Daniel Archambault

2025

Abstract

Machine learning and data science are receiving significant attention and rightly so. The results that can be produced by distilling large amounts data are amazing. Yet, what society expects is human oversight at an appropriate level and trust of system results. Oversight and trust are not for machines; oversight and trust are for humans. Effective solutions thus require careful human-machine collaboration and in turn careful visuali-sation design. This paper motivates why visualisation design forms a necessary part of a data driven society. It provides motivation for carefully designed visualisations that must take into account human perceptual factors, target audience, and the automated processes applied to the information before visualisation. It provides practical examples where all three must be carefully thought about in order to deliver effective data science.

Paper Citation

in Harvard Style

Archambault D. (2025). On the Importance of Visualisation in a Data Driven Society. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISIGRAPP; ISBN 978-989-758-728-3, SciTePress, pages 7-10. DOI: 10.5220/0013445500003912

in Bibtex Style

@conference{visigrapp25,
author={Daniel Archambault},
title={On the Importance of Visualisation in a Data Driven Society},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISIGRAPP},
year={2025},
pages={7-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013445500003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISIGRAPP
TI - On the Importance of Visualisation in a Data Driven Society
SN - 978-989-758-728-3
AU - Archambault D.
PY - 2025
SP - 7
EP - 10
DO - 10.5220/0013445500003912
PB - SciTePress