Toward Emotionally Accessible Massive Open Online Courses (MOOCs).

This paper outlines an approach to evaluating the emotional content of three Massive Open Online Courses (MOOCs) using the affective computing approach of prosody detection on two different text-to-speech voices in conjunction with human raters judging the emotional content of course text. The inten...

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Detalles Bibliográficos
Publicado en:Studies in Health Technology & Informatics Vol. 242; pp. 851 - 855
Autores principales: Hillaire, Garron, Iniesto, Francisco, Rienties, Bart
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2017
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This paper outlines an approach to evaluating the emotional content of three Massive Open Online Courses (MOOCs) using the affective computing approach of prosody detection on two different text-to-speech voices in conjunction with human raters judging the emotional content of course text. The intent of this work is to establish the potential variation on the emotional delivery of MOOC material through synthetic voice.