Machine Learning from User Interaction in Visualization and Visual Analytics

Problem

Machine Learning is being used in Visualization and Visual Analytics to improve analysis results and helps analysts conducting their tasks.

However, a new research direction for employing machine learning is how it can support visualization.
Techniques have been developed that incorporate human-centric sensemaking processes, user-driven analytical systems, and gaining insight from data. These techniques can be applied to learn from user interaction to build intelligent visualization systems.

Aim

Your task is to find recent publications that deal with machine learning from user interaction. Your aim is to come up with a categorization of machine learning systems that build on user interactions, and how they are applied to build intelligent visualization systems and others.

Other information

As a reference, please be referred to the MLUI Workshop - a co-located workshop at IEEE Vis. This workshop will be held the second time in 2019.

https://learningfromusersworkshop.github.io/

Contact

Further information

Area
Information Visualization (IV)
Visual Analytics (VA)
Previous knowledge
Knowledge in Information Visualization and Visual Analytics.
English
Scope
SE
PR
Assigned as
Seminar work/Seminararbeit
Status
open