Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

User performance with speech recognition: a literature review.

H H Koester1

  • 1Center for Ergonomics, University of Michigan, Ann Arbor, Michigan 48109-2117, USA.

Assistive Technology : the Official Journal of RESNA
|January 18, 2003
PubMed
Summary

Speech recognition technology offers computer access for people with disabilities. However, user performance, especially for those with physical disabilities, significantly lags behind system potential, highlighting a need for further research.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adaptive one-switch row-column scanning.

IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·1999
Same author

Learning and performance of able-bodied individuals using scanning systems with and without word prediction.

Assistive technology : the official journal of RESNA·1993
See all related articles

Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Disability Studies

Background:

  • Speech recognition systems are increasingly used for computer access by individuals with disabilities.
  • Understanding user performance is crucial for effective implementation and accommodation.
  • Existing research provides a foundation, but gaps remain, particularly for users with physical disabilities.

Purpose of the Study:

  • To review current knowledge on user performance with speech recognition systems.
  • To focus on the application of these systems for accommodating physical disabilities.
  • To identify barriers and propose future research directions.

Main Methods:

  • Literature review of studies on speech recognition user performance.
  • Analysis of performance data, focusing on text entry speeds.

Related Experiment Videos

  • Examination of factors contributing to the performance gap.

    • Main Results:

    • Current speech recognition systems have a theoretical text entry speed of 150 words per minute.
    • Actual user performance in real-world applications ranges from 8 to 30 words per minute.
    • Significant barriers exist, including the time and effort required to correct recognition errors.

    Conclusions:

    • A substantial performance gap exists between the potential of speech recognition and actual user achievement.
    • Barriers such as error correction costs limit the effectiveness of these systems.
    • Further research is critically needed, especially studies involving users with physical disabilities to improve assistive technology.