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Readability of scanned books in digital libraries
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Tools for Education table of contents
Pages 705-714  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Alexander J. Quinn  University of Maryland, College Park, MD, USA
Chang Hu  University of Maryland, College Park, MD, USA
Takeshi Arisaka  Hitachi, Ltd., Kawasaki, Japan
Anne Rose  University of Maryland, College Park, MD, USA
Benjamin B. Bederson  University of Maryland, College Park, MD, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Displaying scanned book pages in a web browser is difficult, due to an array of characteristics of the common user's configuration that compound to yield text that is degraded and illegibly small. For books which contain only text, this can often be solved by using OCR or manual transcription to extract and present the text alone, or by magnifying the page and presenting it in a scrolling panel. Books with rich illustrations, especially children's picture books, present a greater challenge because their enjoyment is dependent on reading the text in the context of the full page with its illustrations. We have created two novel prototypes for solving this problem by magnifying just the text, without magnifying the entire page. We present the results of a user study of these techniques. Users found our prototypes to be more effective than the dominant interface type for reading this kind of material and, in some cases, even preferable to the physical book itself.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Alexander J. Quinn: colleagues
Chang Hu: colleagues
Takeshi Arisaka: colleagues
Anne Rose: colleagues
Benjamin B. Bederson: colleagues