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Hillaire, Garron; Iniesto, Francisco and Rienties, Bart
(2019).
DOI: https://doi.org/10.5334/jime.519
Abstract
This paper outlines an innovative approach to evaluate the emotional content of three online courses using the affective computing approach of prosody detection on two different text-to-speech (TTS) voices in conjunction with human raters judging the emotional content of the text. This work intends to establish the potential variation on the emotional delivery of online educational resources through the use of synthetic voice, which automatically articulates text into audio. Preliminary results from this pilot research suggest that about one out of every three sentences (35%) in a MOOC contained emotional text and two existing assistive technology voices had poor emotional alignment when reading this text. Synthetic voices were more likely to be overly negative when considering their expression as compared to the emotional content of the text they are reading, which was most frequently neutral. We also analyzed a synthetic voice for which we configured the emotional expression to align with course text, which showed promising improvements.
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About
- Item ORO ID
- 62258
- Item Type
- Journal Item
- ISSN
- 1365-893X
- 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; MOOCs; Online Learning; text-to-speech
- Academic Unit or School
- Institute of Educational Technology (IET)
- Research Group
- OpenTEL
- Copyright Holders
- © 2019 The Authors
- Depositing User
- Library Research Support