What you see is what you can change: human-centred machine learning by interactive visualization

Sacha, Dominik, Sedlmair, Michael, Zhang, Leishi ORCID logoORCID: https://orcid.org/0000-0002-3158-2328, Lee, John A., Peltonen, Jaakko, Weiskopf, Daniel, North, Stephen C. and Keim, Daniel A. (2017) What you see is what you can change: human-centred machine learning by interactive visualization. Neurocomputing, 268 . pp. 164-175. ISSN 0925-2312 [Article] (doi:10.1016/j.neucom.2017.01.105)

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Visual analytics (VA) systems help data analysts solve complex problems interactively, by integrating automated data analysis and mining, such as machine learning (ML) based methods, with interactive visualizations. We propose a conceptual framework that models human interactions with ML components in the VA process, and that puts the central relationship between automated algorithms and interactive visualizations into sharp focus. The framework is illustrated with several examples and we further elaborate on the interactive ML process by identifying key scenarios where ML methods are combined with human feedback through interactive visualization. We derive five open research challenges at the intersection of ML and visualization research, whose solution should lead to more effective data analysis.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 21117
Notes on copyright: © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Useful Links:
Depositing User: Leishi Zhang
Date Deposited: 27 Jan 2017 10:27
Last Modified: 29 Nov 2022 20:21
URI: https://eprints.mdx.ac.uk/id/eprint/21117

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