DocumentCode
3432310
Title
Visualizing multiple text readability indexes
Author
Karmakar, Saurav ; Zhu, Ying
Author_Institution
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
fYear
2010
fDate
2-4 Nov. 2010
Firstpage
133
Lastpage
137
Abstract
Many readability tests have been developed to assess the reading difficulty of a text document. However, a typical readability index is a single average number for the entire document, which does not indicate the readability at the paragraph level. In addition, multiple readability indexes often do not correlate well at the paragraph level, leading to variations of readability measurements for paragraphs. In this paper, we propose two visualization methods to present readability indexes at the paragraph level. We use a colored ring to indicate the overall readability index for a paragraph and a Chernoff face to encode multiple readability indexes. Our methods can help readers and writers to quickly identify complex paragraphs for revisions. They are particularly helpful for documents with multiple authors.
Keywords
computer aided instruction; data visualisation; indexing; text analysis; Chernoff face; colored ring; paragraph level; readability index; readability measurement; readability test; reading difficulty; text document; visualization method; Color; Complexity theory; Education; Face; Indexes; Readability metrics; Visualization; Chernoff faces; readability; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Education and Management Technology (ICEMT), 2010 International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8616-8
Electronic_ISBN
978-1-4244-8618-2
Type
conf
DOI
10.1109/ICEMT.2010.5657684
Filename
5657684
Link To Document