Authors:
Robin Horst
1
and
Elisabeth Franziska Stein
2
Affiliations:
1
German Research Center for Artificial Intelligence (DFKI), Germany
;
2
Johannes Gutenberg University Mainz, Germany
Keyword(s):
Text Visualization, Interface and Interaction Techniques for Visualization, Computer Assisted Creativity, Artistic Information Visualization, Computational Art, Social Media, Twitter, Painting with Data.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Information and Scientific Visualization
;
Interactive Visual Interfaces for Visualization
;
Text and Document Visualization
;
Visual Representation and Interaction
Abstract:
A vast amount of thousands of Twitter messages are produced per second. As not only researchers and data
professionals are interested in utilizing this data, other people could make use of specific insights. Without
the skill to conduct queries with expert systems, tweets must tediously be read entirely in the traditional way.
The creativity gets constrained and neglected in this tiring and cognitive demanding process. However these
tweets could be a great source for conducting investigations as for example in sociocultural creative research,
as writing for lyrics, scripts or even books. Writers could benefit from this huge amount of free accessible
information about public opinions on recent topics. In this paper, we introduce a mobile visualization tool and
its underlying visualization concept: Paint in Tongues. It can be used in different ways to visualize text-based
social media content. Moreover it enables users that are unexperienced at information visualization to easi
ly
interact with the data and utilize it. Techniques that even enhance creativity, as doodling and combining
different media, are utilized in an interactive visualization process to augment the data analysis for creative
and visual oriented people.
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