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...
| Publicado en: | Assistive Technology Vol. 18; no. 1; pp. 56 - 77 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Spring2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106326588&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106326588 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10400435 YVP jtl: Assistive Technology issn: 10400435 maglogo: Y pubinfo: dt: Spring2006 vid: 18 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106326588 2009203300 10.1080/10400435.2006.10131907 NLM16796242 106326588 ppf: 56 ppct: 21 formats: fmt: @attributes: type: P tig: atl: Factors that influence the performance of experienced speech recognition users. aug: 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 refInfo: holdings: @attributes: islocal: N |
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