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Communication Skills Training Exploiting Multimodal Emotion Recognition
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2017
The teaching of communication skills is a labour-intensive task because of the detailed feedback that should be given to learners during their prolonged practice. This study investigates to what extent our FILTWAM facial and vocal emotion recognition software can be used for improving a serious game (the Communication Advisor) that delivers a…
Descriptors: Communication Skills, Skill Development, Training Methods, Computer Software
Towards Real-Time Speech Emotion Recognition for Affective E-Learning
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)