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Guide Me in Analysis: A Framework for Guidance Designers.

Authors :
Ceneda, Davide
Andrienko, Natalia
Andrienko, Gennady
Gschwandtner, Theresia
Miksch, Silvia
Piccolotto, Nikolaus
Schreck, Tobias
Streit, Marc
Suschnigg, Josef
Tominski, Christian
Source :
Computer Graphics Forum; Sep2020, Vol. 39 Issue 6, p269-288, 20p, 1 Color Photograph, 2 Diagrams, 1 Chart, 3 Graphs
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01677055
Volume :
39
Issue :
6
Database :
Complementary Index
Journal :
Computer Graphics Forum
Publication Type :
Academic Journal
Accession number :
145974315
Full Text :
https://doi.org/10.1111/cgf.14017