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Hillaire, Garron; Iniesto, Francisco and Rienties, Bart
(2017).
Abstract
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.
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- Item ORO ID
- 50395
- Item Type
- Conference or Workshop Item
- Project Funding Details
-
Funded Project Name Project ID Funding Body Open World Learning DS-2014-077 LEVERHULME The Leverhulme Trust GO-GN phase 2 #2016-3844 Hewlett Foundation - Keywords
- Emotions; Accessibility; MOOC
- Academic Unit or School
- Institute of Educational Technology (IET)
- Copyright Holders
- © 2017 The Authors
- Depositing User
- Library Research Support