| Improving accessibility of the web with a computer game |
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Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI conference on Human Factors in computing systems
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Montréal, Québec, Canada
Pages: 79 - 82
Year of Publication: 2006
ISBN:1-59593-372-7
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Authors
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Luis von Ahn
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Carnegie Mellon University, Pittsburgh, PA
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Shiry Ginosar
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Carnegie Mellon University, Pittsburgh, PA
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Mihir Kedia
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Carnegie Mellon University, Pittsburgh, PA
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Ruoran Liu
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Carnegie Mellon University, Pittsburgh, PA
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Manuel Blum
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Carnegie Mellon University, Pittsburgh, PA
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Downloads (6 Weeks): 18, Downloads (12 Months): 148, Citation Count: 7
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ABSTRACT
Images on the Web present a major accessibility issue for the visually impaired, mainly because the majority of them do not have proper captions. This paper addresses the problem of attaching proper explanatory text descriptions to arbitrary images on the Web. To this end, we introduce Phetch, an enjoyable computer game that collects explanatory descriptions of images. People play the game because it is fun, and as a side effect of game play we collect valuable information. Given any image from the World Wide Web, Phetch can output a correct annotation for it. The collected data can be applied towards significantly improving Web accessibility. In addition to improving accessibility, Phetch is an example of a new class of games that provide entertainment in exchange for human processing power. In essence, we solve a typical computer vision problem with HCI tools alone.
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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National Organization on Disability Website. http://www.nod.org/
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Stork, D. G. The Open Mind Initiative. IEEE Intelligent Systems & Their Applications, 14-3, 1999, pages 19--20.
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Watchfire Corporation Website. http://watchfire.com.
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CITED BY 7
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Jeffrey P. Bigham , Ryan S. Kaminsky , Richard E. Ladner , Oscar M. Danielsson , Gordon L. Hempton, WebInSight:: making web images accessible, Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility, October 23-25, 2006, Portland, Oregon, USA
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Yang Yang , Bin B. Zhu , Rui Guo , Linjun Yang , Shipeng Li , Nenghai Yu, A comprehensive human computation framework: with application to image labeling, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada
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