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Guide Me in Analysis: A Framework for Guidance Designers
Author(s) -
Ceneda Davide,
Andrienko Natalia,
Andrienko Gennady,
Gschwandtner Theresia,
Miksch Silvia,
Piccolotto Nikolaus,
Schreck Tobias,
Streit Marc,
Suschnigg Josef,
Tominski Christian
Publication year - 2020
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.14017
Subject(s) - computer science , usability , visual analytics , set (abstract data type) , analytics , session (web analytics) , process (computing) , field (mathematics) , perspective (graphical) , visualization , data science , quality (philosophy) , human–computer interaction , process management , world wide web , artificial intelligence , engineering , philosophy , mathematics , epistemology , pure mathematics , programming language , operating system
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.