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Faculty of Electrical Engineering, Federal University of Uberlândia, Av. João Naves de Ávila 2121, Uberlândia, Brazil

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1 Papers

Usability Assessment in Scientific Data Analysis: A Literature Review

Topics: Design Methods and Tools; Evaluation Paradigms and Frameworks; Usability and User Experience

Authors: Fernando Pasquini , Lucas Brito and Adriana Sampaio

Affiliation: Faculty of Electrical Engineering, Federal University of Uberlândia, Av. João Naves de Ávila 2121, Uberlândia, Brazil

Digital Object Identifier: 10.5220/0011665400003417

Proceedings of HUCAPP 2023/VISIGRAPP, ISBN: 978-989-758-634-7

Quick 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.