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Improving speech-based navigation during dictation
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Source Conference on Human Factors in Computing Systems archive
CHI '02 extended abstracts on Human factors in computing systems table of contents
Minneapolis, Minnesota, USA
POSTER SESSION: Student Posters table of contents
Pages: 844 - 845  
Year of Publication: 2002
ISBN:1-58113-454-1
Author
Jinjuan Feng  UMBC, Baltimore, MD
Sponsors
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC: ACM Special Interest Group for Design of Communications
SIGLINK: Hypertext, Hypermedia, and Web
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

This research focuses on understanding the failures of speech-based navigation as it exists in state-of-the-art speech recognition software. A detailed analysis of failure rates, reasons commands fail, and consequences of these failures in the allowed for the identification of three specific improvements to spech-based navigation. Results from a follow-up study are reported, indicating that each of the three improvements reduced failure rates.


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.

 
1
Halverson C., Horn D., Karat C. and Karat J. (1999). The Beauty of Errors: Patterns of Error Correction in Desktop Speech Systems, Proceedings of INTERACT '99, pp. 1--9.
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Sears A., Karat C-M., Oseitutu K., Karimullah A., Feng J. (2001). Productivity, Satisfaction, and Interaction Strategies of Individuals with Spinal Cord Injuries and Traditional Users Interacting with Speech Recognition Software, International journal of Universal Access in the Information Society, 1(1), 4--15.