Usability Assessment in Scientific Data Analysis: A Literature Review

Fernando Pasquini, Lucas Brito, Adriana Sampaio

2023

Abstract

Big Data has transformed current science and is bringing a great amount of scientific data analysis tools to help research. In this paper, we conduct a literature search on the methods currently employed and the results obtained to assess the usability of some of these tools, and highlight the experiments, best practices and proposals presented in them. Among the 38 papers considered, we found challenges in usability assessment that are related to the rapid change of software requirements, the need for expertise to specify and operate this software, issues of engagement and reterntion, and design for usability that supports reusability, reproducibility, policy, rights and privacy. Among the directions, we found proposals on new visualization strategies based on cognitive ergonomics, on new forms of user support and documentation, and automation solutions for supporting users in complex operations. Our summary thus can point to further studies that may be missing on usability of scientific data analysis tools and then improve them on their efficiency, prevention of erros and even their relationship to social and ethical values.

Paper Citation

in Harvard Style

Pasquini F., Brito L. and Sampaio A. (2023). Usability Assessment in Scientific Data Analysis: A Literature Review. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 63-72. DOI: 10.5220/0011665400003417

in Bibtex Style

@conference{hucapp23,
author={Fernando Pasquini and Lucas Brito and Adriana Sampaio},
title={Usability Assessment in Scientific Data Analysis: A Literature Review},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={63-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011665400003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Usability Assessment in Scientific Data Analysis: A Literature Review
SN - 978-989-758-634-7
AU - Pasquini F.
AU - Brito L.
AU - Sampaio A.
PY - 2023
SP - 63
EP - 72
DO - 10.5220/0011665400003417
PB - SciTePress