Generation and visualization of emotional states in virtual characters

Abstract

This paper presents an affective model that determines the emotional state of a character according to the personality traits and the experienced emotions. We consider an emotional state as the layer between personality and emotion. The proposed affective model offers a mapping between emotions and emotional states. To evidence emotional states of a virtual character, we can attribute them facial expressions based on their associated emotions. Facial expressions for intermediate emotions are generated automatically from expressions for universal emotions. The experiments show coherent emotional states produced by a simulated story. They also present how the corresponding emotions were represented through dynamic and static facial expressions. Finally, the obtained results demonstrate the satisfactory recognition by a group of people unfamiliar with the work described. Copyright

Promoting motivation with virtual agents and avatars: role of visual presence and appearance

“…For additional functionality, the agent could also respond and interact adaptively through cognitive, emotional and motivational models of the user (e.g. Swartout et al 2006;Gratch et al 2007;Arellano et al 2008;McQuiggan et al 2008), or interact with natural language, all of which can add to its believability. The advantages of accessibility in real time and customization are significant, but not if considerable time is required to construct these personalized agent social models.…”

Integration of a semantic and affective model for realistic generation of emotional states in virtual characters

“…The algorithm used for creation of facial expressions is based on the work of Arellano et al [3], where emotional states were associated with expressions of emotions, classified as universal and intermediate. …”

“…Visualization of emotions was done using facial expressions, and visualization of emotional states was done using body gestures. Arellano et al [3] proposed an affective model that determines the emotional state of a character according to the personality traits and the experienced emotions. These emotional states were visualized using facial expressions based on their associated emotions.…”

UEGM: uncertain emotion generator under multi‐stimulus

“…Simulating lifelike emotional response in virtual human creation has become an important research focus [1][2][3][4][5][6][7][8][9], and has recently involved biological, psychological, and cognitive theories. However, due to real-life humans' unique characteristics and moral orders involving an extraordinarily rich variety of emotion responses [1,10,11], current emotion generation models involves the following challenges: (i) virtual human's emotion model should express natural emotional reactions which have no direct relations with cognition levels.…”