Characterizing Guidance in Visual Analytics

Ceneda, Davide; Gschwandtner, Theresia; May, Thorsten; Miksch, Silvia; Schulz, Hans‐Jörg; Streit, Marc; Tominski, Christian

doi:10.1109/tvcg.2016.2598468

Public

Characterizing Guidance in Visual Analytics

Published in IEEE Transactions on Visualization and Computer Graphics • Aug 5, 2016

Authors:

Davide Ceneda

Theresia Gschwandtner

Thorsten May

Abstract

Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed. Unfortunately, there is a natural correlation between the complexity of the data and the complexity of the tools to study them. An adverse effect of complicated tools is that analytical goals are more diff...

Subject

Computer science

Visual analytics

Process (computing)

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!