Visual readability analysis : How to make your writings easier to read

Cite This

Files in this item

Checksum: MD5:c1927b861910d4257d06f1e9fa70bf2b

OELKE, Daniela, David SPRETKE, Andreas STOFFEL, Daniel KEIM, 2010. Visual readability analysis : How to make your writings easier to read. 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST). Salt Lake City, UT, USA, Oct 25, 2010 - Oct 26, 2010. In: 2010 IEEE Symposium on Visual Analytics Science and Technology. IEEE, pp. 123-130. ISBN 978-1-4244-9488-0. Available under: doi: 10.1109/VAST.2010.5652926

@inproceedings{Oelke2010-10Visua-12714, title={Visual readability analysis : How to make your writings easier to read}, year={2010}, doi={10.1109/VAST.2010.5652926}, isbn={978-1-4244-9488-0}, publisher={IEEE}, booktitle={2010 IEEE Symposium on Visual Analytics Science and Technology}, pages={123--130}, author={Oelke, Daniela and Spretke, David and Stoffel, Andreas and Keim, Daniel} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Stoffel, Andreas</dc:contributor> <dcterms:title>Visual readability analysis : How to make your writings easier to read</dcterms:title> <dc:rights>terms-of-use</dc:rights> <dcterms:isPartOf rdf:resource=""/> <dc:language>eng</dc:language> <bibo:uri rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dcterms:available rdf:datatype="">2011-09-13T07:16:42Z</dcterms:available> <dc:creator>Oelke, Daniela</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Spretke, David</dc:contributor> <dc:contributor>Oelke, Daniela</dc:contributor> <dspace:hasBitstream rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <dcterms:abstract xml:lang="eng">We present a tool that is specifically designed to support a writer in revising a draft-version of a document. In addition to showing which paragraphs and sentences are difficult to read and understand, we assist the reader in understanding why this is the case. This requires features that are expressive predictors of readability, and are also semantically understandable. In the first part of the paper, we therefore discuss a semi-automatic feature selection approach that is used to choose appropriate measures from a collection of 141 candidate readability features. In the second part, we present the visual analysis tool VisRA, which allows the user to analyze the feature values across the text and within single sentences. The user can choose different visual representations accounting for differences in the size of the documents and the availability of information about the physical and logical layout of the documents. We put special emphasis on providing as much transparency as possible to ensure that the user can purposefully improve the readability of a sentence. Several case-studies are presented that show the wide range of applicability of our tool.</dcterms:abstract> <dc:contributor>Keim, Daniel</dc:contributor> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Spretke, David</dc:creator> <dcterms:bibliographicCitation>First publ. in: VAST 10 : IEEE Conference on Visual Analytics Science and Technology 2010 ; Salt Lake City, Utah, USA, 24 - 29 October, 2010 / Alan MacEachren ... (Ed.). Piscataway, N.J. : IEEE, 2010, pp. 123-130</dcterms:bibliographicCitation> <dc:creator>Keim, Daniel</dc:creator> <dc:creator>Stoffel, Andreas</dc:creator> <dcterms:issued>2010-10</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="">2011-09-13T07:16:42Z</dc:date> </rdf:Description> </rdf:RDF>

Downloads since Oct 1, 2014 (Information about access statistics)

Oelke_visual readability.pdf 724

This item appears in the following Collection(s)

Search KOPS


My Account