Guide Me in Analysis: A Framework for Guidance Designers.

Guidance Information Visualization Interaction User Interface Design Visual Analytics Visualization

Journal

Computer graphics forum : journal of the European Association for Computer Graphics
ISSN: 0167-7055
Titre abrégé: Comput Graph Forum
Pays: England
ID NLM: 101511479

Informations de publication

Date de publication:
Sep 2020
Historique:
entrez: 12 10 2020
pubmed: 13 10 2020
medline: 13 10 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33041406
doi: 10.1111/cgf.14017
pii: CGF14017
pmc: PMC7539991
doi:

Types de publication

Journal Article

Langues

eng

Pagination

269-288

Subventions

Organisme : Austrian Science Fund FWF
ID : P 31419
Pays : Austria

Informations de copyright

© 2020 The Authors. Computer Graphics Forum published by Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.

Références

Nat Methods. 2014 Sep;11(9):884-885
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IEEE Trans Vis Comput Graph. 2014 Dec;20(12):1604-13
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Auteurs

Davide Ceneda (D)

Vienna University of Technology Austria.

Natalia Andrienko (N)

Fraunhofer Institute IAIS Germany.
the University London UK.

Gennady Andrienko (G)

Fraunhofer Institute IAIS Germany.
the University London UK.

Theresia Gschwandtner (T)

Vienna University of Technology Austria.

Silvia Miksch (S)

Vienna University of Technology Austria.

Nikolaus Piccolotto (N)

Vienna University of Technology Austria.

Tobias Schreck (T)

TU Graz Austria.

Marc Streit (M)

Johannes Kepler University Linz.

Josef Suschnigg (J)

Pro2Future Competence Center and AVL List GmbH Graz Austria.

Christian Tominski (C)

University of Rostock Germany.

Classifications MeSH