Qualitative analysis of factors characterizing success with speech recognition software for people with disabilities
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Studies have shown a high rate of discontinuance among automatic speech recognition (ASR) users with disabilities, compared with other computer based assistive technology (AT). Research shows that usage is influenced by various personal, environmental, task and technology related factors. There have been no studies conducted on the impact of different factors on the long term use of ASR. The aim of this study was to qualitatively explore the factors distinguishing long term ASR users from non-users. The study was a secondary analysis of interview data. Fourteen participants’ interviews were chosen from a previous computer based AT study, with an equal number of males and females. The interview was a survey questionnaire. The transcribed interview data was analyzed using a phenomenological and modified case- study approach. There were five main themes identified, including usability, alternate access strategies, user- related, environment and services. From the individual profiles of all participants, it was seen that ASR usability, especially recognition and productivity, distinguished successful from unsuccessful users. This study can help practitioners improve service delivery strategies and provide guidance to consumers regarding effective learning strategies and the need to be proactive in seeking help.