How Convincing is Mr. Data's Smile: Affective Expressions of Machines
User Modeling and User-Adapted Interaction
Communicating facial affect: it's not the realism, it's the motion
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Affective expressions of machines
CHI '01 Extended Abstracts on Human Factors in Computing Systems
"May I talk to you?: -)" " Facial Animation from Text
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Subtle emotional expressions of synthetic characters
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
Presence: Teleoperators and Virtual Environments
Psychological responses to simulated displays of mismatched emotional expressions
Interacting with Computers
The properties of DaFEx, a database of kinetic facial expressions
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Real-time speech-driven face animation with expressions using neural networks
IEEE Transactions on Neural Networks
Listening to sad music while seeing a happy robot face
ICSR'11 Proceedings of the Third international conference on Social Robotics
It's not all written on the robot's face
Robotics and Autonomous Systems
Hi-index | 0.00 |
This paper investigates the impact of contradictory emotional content on people's ability to identify the emotion expressed on avatar faces as compared to human faces. Participants saw emotional faces (human or avatar) coupled with emotional texts. The face and text could either display the same or different emotions. Participants were asked to identify the emotion on the face and in the text. While they correctly identified the emotion on human faces more often than on avatar faces, this difference was mostly due to the neutral avatar face. People were no better at identifying a facial expression when emotional information coming from two sources was the same than when it was different, regardless of whether the facial expression was displayed on a human face or on an avatar face. Finally, people were more sensitive to context when trying to identify the emotion in the accompanying text.