Factors that influence the performance of experienced speech recognition users.

Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect o...

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Publicado en:Assistive Technology Vol. 18; no. 1; pp. 56 - 77
Autor principal: Koester HH
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Spring2006
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Factors that influence the performance of experienced speech recognition users.
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        au: Koester HH
        affil: Koester Performance Research, Ann Arbor, MI
      sug:
        subj:
          Communication Aids for Persons with Disabilities
          Persons with Disabilities Psychosocial Factors
          User-Computer Interface
          Voice Recognition Systems
          Adolescence
          Adult
          Analysis of Variance
          Applied Research
          Automation
          Evaluation Research
          Female
          Linear Regression
          Male
          Middle Age
          Multiple Regression
          P-Value
          Pearson's Correlation Coefficient
          Perception
          Psychomotor Performance
          Random Sample
          Speech
          Speech Intelligibility
          Videorecording
          Funding Source
          Human
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect of 20 different independent variables on recognition accuracy and text entry rate with ASR was measured using bivariate and multivariate analyses. The results show that use of appropriate correction strategies had the strongest influence on user performance with ASR. The amount of time the user spent on his or her computer, the user's manual typing speed, and the speed with which the ASR system recognized speech were all positively associated with better performance. The amount or perceived adequacy of ASR training did not have a significant impact on performance for this user group.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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