Gaze Manipulation for One-to-one Teleconferencing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Eye Gaze Correction with Stereovision for Video-Teleconferencing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image deformation using moving least squares
ACM SIGGRAPH 2006 Papers
An Entertainment System Using Thermal Feedback for Increasing Communication and Social Skills
Edutainment '09 Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development
Proceedings of the 13th international conference on Ubiquitous computing
Facilitation of affection by tactile feedback of false heratbeat
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Gaze correction for home video conferencing
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Incendiary reflection: evoking emotion through deformed facial feedback
ACM SIGGRAPH 2013 Emerging Technologies
Incendiary reflection: evoking emotion through deformed facial feedback
ACM SIGGRAPH 2013 Talks
Smart Face: enhancing creativity during video conferences using real-time facial deformation
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Comix: beyond: evoking multiple emotions using pseudo body responses depending on the context
SIGGRAPH Asia 2013 Emerging Technologies
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The main goals of this paper involved assessing the efficacy of computer-generated emotion and establishing a method for integrating emotional experience. Human internal processing mechanisms for evoking an emotion by a relevant stimulus have not been clarified. Therefore, there are few reliable techniques for evoking an intended emotion in order to reproduce this process. However, in the field of cognitive science, the ability to alter a bodily response has been shown to unconsciously generate emotions. We therefore hypothesized emotional experience could be manipulated by having people recognize pseudo-generated facial expressions as changes to their own facial expressions. Our results suggest that this system was able to manipulate an emotional state via visual feedback from artificial facial expressions. We proposed the Emotion Evoking system based on the facial feedback hypothesis.