An Experimental Comparison of Speech and DTMF for VoiceXML-Based Expert Systems

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dc.creatorOyelami, O. M., Akinyemi, I. O., Uwadia, C. O., Akinwale, A. T.
dc.date2013
dc.date.accessioned2025-03-28T16:30:54Z
dc.descriptionComparisons of DTMF and speech modalities for interacting with diverse dialogue systems for different tasks, among different user populations have led to different design recommendations for different user populations. This paper reports the results of the experimental comparison of these input modalities in a new context of VoiceXML-based diseases diagnosis expert system among a new user population - Nigerians. The results show that DTMF was more satisfying than speech for system satisfaction. Modality wise, speech was more satisfying than DTMF. Speech was also more natural than DTMF. DTMF was preferred by the majority and was more effective and efficient than speech. For diseases diagnosis expert health dialogue systems in Nigeria, DTMF is recommended for effectiveness and efficiency. It is also recommended for satisfaction. Speech is recommended for modality satisfaction while both modalities are recommended for entertainment purpose. Speech is advocated for modality naturalness. However, a platform that incorporates the two modalities will provide the benefits of the two, and allow the users varieties of choices that best suit their needs
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/5628/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/35014
dc.languageen
dc.subjectQA75 Electronic computers. Computer science
dc.titleAn Experimental Comparison of Speech and DTMF for VoiceXML-Based Expert Systems
dc.typeArticle

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