A multimodal positive computing system for public speaking: evaluating user responses to avatar and video speaker representations
Dermody, Fiona and Sutherland, Alistair
(2018)
A multimodal positive computing system for public speaking: evaluating user responses to avatar and video speaker representations.
In: 2nd International Conference on Human Computer Interaction Theory and Applications (HUCAPP), 27-29 Jan 2018, Funchal, Madeira.
ISBN 978-989-758-288-2
A multimodal Positive Computing system with real-time feedback for public speaking has been developed. 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 wish to compare 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. Visual feedback is displayed on both versions in proximity to the speaking modality it relates to. In all other aspects, the two versions are identical. We found that users rated the video version of the system more distracting as they focussed on their physical appearance rather than their speaking performance when using it
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Additional Information:
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.
Uncontrolled Keywords:
Real-time Feedback; Multimodal Interfaces; Positive Computing; HCI; Human Computer Interaction; Public Speaking.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP.
2.
Scitepress. ISBN 978-989-758-288-2