Affective computing
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Emotions and personality in agent design
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Affective Computing in Tele-Home Health
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 6 - Volume 6
Towards Recognizing Emotion with Affective Dimensions Through Body Gestures
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
IEEE Intelligent Systems
A real-time automated system for the recognition of human facial expressions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes a model of human-robot interaction. It computes the robot's simulated emotional state as a result of the emotional input received from the user and the robot's internal emotion dynamics. The latter is determined by the key elements of personality and attitude. The proposed model is a probabilistic finite state automaton, where the probabilistic transition function is called personality and is modified during the interaction according to the history of the interaction itself. The criterion which drives this personality change is called attitude. Such a model may be used in affective computing applications in order to design emotional agents and robots.