An Experimental Comparison of Speech and DTMF for VoiceXML-Based Expert Systems
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Comparisons 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
Keywords
QA75 Electronic computers. Computer science