Guide Me in Analysis: A Framework for Guidance Designers

Davide Ceneda, Natalia Andrienko, Gennady Andrienko, Theresia Gschwandtner , Silvia Miksch, Nikolaus Piccolotto, T. Schreck, Marc Streit, Josef Suschnigg, Christian Tominski

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)269-288
Number of pages20
JournalComputer Graphics Forum
Volume39
Issue number6
DOIs
Publication statusPublished - 2020

Keywords

  • Guidance
  • Information Visualization
  • Interaction
  • User Interface Design
  • Visual Analytics
  • Visualization

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Fields of Expertise

  • Information, Communication & Computing

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