Abstract
We review some existing multimodal systems for Public Speaking. We then present two versions of a multimodal system for Public Speaking based on Positive Computing. The system uses the Microsoft Kinect to detect voice, body pose, facial expressions and gestures. The system is a real-time system, which gives users feedback on their performance while they are rehearsing a speech. We discuss a study comparing two versions of the system. One version displays a live video-stream of the user. The other displays a computer-generated avatar, which represents the user’s body movements and facial expressions. We discuss user reactions to both versions of the system and make recommendations for future multimodal systems for public speaking.
This material is based upon works supported by Dublin City University under the Daniel O’Hare Research Scholarship scheme. System prototypes were developed in collaboration with interns from École Polytechnique de l’Université Paris-Sud and l’École Supérieure d’Informatique, Électronique, Automatique (ESIEA) France.
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- 1.
http://sigmla.org/mla2015/ApplicationGuidelines.pdf accessed on January 2016.
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Dermody, F., Sutherland, A. (2019). Recommendations from a Study of a Multimodal Positive Computing System for Public Speaking. In: Bechmann, D., et al. Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2018. Communications in Computer and Information Science, vol 997. Springer, Cham. https://doi.org/10.1007/978-3-030-26756-8_4
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