The effects of recognition accuracy and vocabulary size of a speech recognition system on task performance and user acceptance

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dc.contributor.authorCasali, Sherry P.en
dc.contributor.committeechairDryden, Robert D.en
dc.contributor.committeememberWilliges, Beverly A.en
dc.contributor.committeememberKemmerling, Paul T. Jr.en
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2014-03-14T21:38:56Zen
dc.date.adate2010-06-22en
dc.date.available2014-03-14T21:38:56Zen
dc.date.issued1988-05-13en
dc.date.rdate2010-06-22en
dc.date.sdate2010-06-22en
dc.description.abstractAutomatic speech recognition systems have at last advanced to the state that they are now a feasible alternative for human-machine communication in selected applications. As such, research efforts are now beginning to focus on characteristics of the human, the recognition device, and the interface which optimize the system performance, rather than the previous trend of determining factors affecting recognizer performance alone. This study investigated two characteristics of the recognition device, the accuracy level at which it recognizes speech, and the vocabulary size of the recognizer as a percent of task vocabulary size to determine their effects on system performance. In addition, the study considered one characteristic of the user, age. Briefly, subjects performed a data entry task under each of the treatment conditions. Task completion time and the number of errors remaining at the end of each session were recorded. After each session, subjects rated the recognition device used as to its acceptability for the task. The accuracy level at which the recognizer was performing significantly influenced the task completion time as well as the user's acceptability ratings, but had only a small effect on the number of errors left uncorrected. The available vocabulary size also significantly affected the task completion time; however, its effect on the final error rate and on the acceptability ratings was negligible. The age of the subject was also found to influence both objective and subjective measures. Older subjects in general required longer times to complete the tasks; however, they consistently rated the speech input systems more favorably than the younger subjects.en
dc.description.degreeMaster of Scienceen
dc.format.extentx, 132 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06222010-020113en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06222010-020113/en
dc.identifier.urihttp://hdl.handle.net/10919/43383en
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1988.C382.pdfen
dc.relation.isformatofOCLC# 18606761en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1988.C382en
dc.subject.lcshAutomatic speech recognitionen
dc.subject.lcshSpeech processing systemsen
dc.titleThe effects of recognition accuracy and vocabulary size of a speech recognition system on task performance and user acceptanceen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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