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American sign language vocabulary: computer aided instruction for non-signers
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ACM SIGACCESS Conference on Computers and Accessibility archive
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility table of contents
Halifax, Nova Scotia, Canada
POSTER SESSION: Posters and system demonstrations table of contents
Pages 281-282  
Year of Publication: 2008
ISBN:978-1-59593-976-0
Authors
Valerie Henderson-Summet  Georgia Institute of Technology, Atlanta, GA, USA
Kimberly Weaver  Georgia Institute of Technology, Atlanta, GA, USA
Tracy L. Westeyn  Georgia Institute of Technology, Atlanta, GA, USA
Thad E. Starner  Georgia Institute of Technology, Atlanta, GA, USA
Sponsors
ACM: Association for Computing Machinery
SIGACCESS: ACM Special Interest Group on Accessible Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we present the results of a study designed to evaluate the computer-based methods of learning American Sign Language (ASL). We describe a method including an initial instruction session along with receptive and generative language tests which were administered after a week-long retention interval. We show a strong correlations (r=.62, r=.57) between the initial session's instruction and the receptive and generative levels of vocabulary signing. Based on the results of our experiment, we establish a baseline for further exploration of ASL vocabulary acquisition and identify further paths for language based instruction.


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:
Valerie Henderson-Summet: colleagues
Kimberly Weaver: colleagues
Tracy L. Westeyn: colleagues
Thad E. Starner: colleagues