Uncertainty of visualizations for SenseMaking in criminal intelligence analysis

Islam, Junayed, Xu, Kai and Wong, B. L. William (2018) Uncertainty of visualizations for SenseMaking in criminal intelligence analysis. In: EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (2018), 04-08 June 2018, Brno, Czech Republic.

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Abstract

Uncertainty in visualization is an inevitable issue for sensemaking in criminal intelligence. Accuracy and precision of adopted visualization techniques have got greater role in trustworthiness with the system while finding out insights from crime related dataset. In this paper, we have presented a case study to introduce concepts of uncertainty and provenance and their relevance to crime analysis. Our findings show how uncertainties of visualization pipeline influence cognitive biases, human awareness and trust-building during crime analysis and how provenance can enhance analysis processes that include uncertainties.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Islam, Junayed and Xu, Kai and Wong, B. L. William (2018) 'Uncertainty of visualizations for SenseMaking in criminal intelligence analysis'. In: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), Eurographics Association, pp. 25-29. ISBN 978-3-03868-066-6, DOI: 10.2312/eurorv3.20181145
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 24336
Notes on copyright: ©2018 The Author(s) Eurographics Proceedings © 2018 The Eurographics Association. The published version is reproduced in this repository (http://eprints.mdx.ac.uk/) with permission. The definitive version is available at http://diglib.eg.org/
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Depositing User: Junayed Islam
Date Deposited: 06 Jun 2018 11:01
Last Modified: 06 Jun 2018 11:07
URI: https://eprints.mdx.ac.uk/id/eprint/24336

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