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ThinkMind // International Journal On Advances in Software, volume 10, numbers 3 and 4, 2017 // View article soft_v10_n34_2017_17


Empirical Evaluation of Data Visualizations by Non-Expert Users

Authors:
Elena Ornig
Jolon Faichney
Bela Stantic

Keywords: data visualization; empirical evaluation; open government data; non-expert users

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 machine- readable 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.

Pages: 355 to 371

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2628

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