Empirical Evaluation of Data Visualizations by Non-Expert Users

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Ornig, Elena
Faichney, Jolon
Stantic, Bela
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2017
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http://creativecommons.org/licenses/by-nc-sa/2.5/
Abstract

With the increased release of Open Government Data (OGD), several problems hinder the breakthrough of the Open Data agenda into the mainstream. One of these problems is the slow acceptance of OGD by non-expert end-users. They do not have the technical skills and prefer a human-readable format compared to the experts who demand machinereadable data. Recently, some OGD portals added interactive visualizations to ease the use of OGD by non-expert users. However, the question of human-usability or what makes it easier for non-experts to interact with OGD visualizations, remains open. With the aim to answer this question, we report results on the evaluation of OGD visualizations from the field experiment conducted with non-expert users. We discuss results and insights to inform designers and OGD providers.

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International Journal of Advances in Software
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10
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3&4
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© The Author(s) 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5) License (http://creativecommons.org/licenses/by-nc-sa/2.5/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. If you alter, transform, or build upon this work, you may distribute the resulting work only under a licence identical to this one.
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Computer-Human Interaction
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