Title :
Automated conversation skills assistant
Author :
Mohammad Rafayet Ali
Author_Institution :
Department of Computer Science, University of Rochester, Rochester, NY, United States
Abstract :
Conversational skills training are getting popular now a days but often very hard to get due to expense and lack of accessibility. In this paper, we present the idea of an automated conversational skills training assistant, which provides both realtime and post summary feedback while having a conversation with a virtual agent. Our exploratory effort shows the applicability of this system and significant improvement of our participant´s conversational skills over a control group. We present our intended goals and the methodologies that we will use on our collected training data in order to automate this system in future.
Keywords :
"Real-time systems","Training","Speech","Speech recognition","Context","Training data","Computers"
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN :
2156-8111
DOI :
10.1109/ACII.2015.7344655