DocumentCode
1634675
Title
Stochastic approach on a simplified OCC model for uncertainty and believability
Author
Kim, Won Hwa ; Park, Jeong Woo ; Lee, Won Hyong ; Kim, Woo Hyun ; Chung, Myung Jin
Author_Institution
Robot. Program, KAIST, Daejeon, South Korea
fYear
2009
Firstpage
66
Lastpage
71
Abstract
As robots step into the human´s daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, we propose an emotion generation model considering simplicity, believability and uncertainty. First, OCC model is simplified and then stochastic approach on emotion decision algorithm for believability and uncertainty is applied. The proposed model is implemented on a 3D robot expression simulator that can express emotions through its facial expression, gesture, led and so on. A demo of the model is provided as a result.
Keywords
emotion recognition; human-robot interaction; intelligent robots; stochastic processes; 3D robot expression simulator; Ortony-Clore-Collins model; believability; emotion decision algorithm; emotion generation model; human-robot communication; simplicity; simplified OCC model; stochastic approach; uncertainty; Atherosclerosis; Cognitive robotics; Computational modeling; Databases; Electronic mail; Human robot interaction; Humanoid robots; Intelligent robots; Stochastic processes; Uncertainty; Emotion Generation; OCC Model; Probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
Conference_Location
Daejeon
Print_ISBN
978-1-4244-4808-1
Electronic_ISBN
978-1-4244-4809-8
Type
conf
DOI
10.1109/CIRA.2009.5423242
Filename
5423242
Link To Document