Computational Model of Emotion Generation for Human-Robot Interaction Based on the Cognitive Appraisal Theory

Abstract

Interactions between humans and service robots are more natural when emotions can be synthesized in those robots. Cognitive appraisal theory of emotions provides a theoretical basis for designing artificial emotion generation systems for robots. Computational algorithms to implement the cognitive appraisal theory were proposed in this research. The algorithms were based on a probabilistic description about the world. The proposed model was applied to a sample of interactive tasks, and the robot's emotions during the task execution can lead to a more positive human-robot interaction experience.