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Guide Me in Analysis: A Framework for Guidance Designers

Ceneda, D., Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Gschwandtner, T., Miksch, S., Piccolotto, N., Schreck, T., Streit, M., Suschnigg, J. and Tominski, C. (2020). Guide Me in Analysis: A Framework for Guidance Designers. Computer Graphics Forum, doi: 10.1111/cgf.14017

Abstract

Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance approaches should be designed and what specific factors should be considered for effective support. In this paper, we approach this problem from the perspective of guidance designers. We present a framework comprising requirements and a set of specific phases designers should go through when designing guidance for visual analytics. We relate this process with a set of quality criteria we aim to support with our framework, that are necessary for obtaining a suitable and effective guidance solution. To demonstrate the practical usability of our methodology, we apply our framework to the design of guidance in three analysis scenarios and a design walk-through session. Moreover, we list the emerging challenges and report how the framework can be used to design guidance solutions that mitigate these issues.

Publication Type: Article
Additional Information: © 2020 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: Visual Analytics, Visualization, User Interface Design, Interaction, Information Visualization, Guidance
Subjects: H Social Sciences > HM Sociology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Computer Science > giCentre
Date Deposited: 21 May 2020 10:31
URI: https://openaccess.city.ac.uk/id/eprint/24217
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