基于Gross认知重评的机器人认知情感交互模型
Cognitive emotion interaction model of robot based on Gross cognitive reappraisal

为了增强机器人的认知情感分析能力,依据AVS情感空间和有限状态机(FSM)提出了一种基于Gross认知重评策略的认知情感交互模型.首先,通过分析情感状态之间的欧式距离,研究外界情感刺激对情感状态转移概率的影响;然后,采用有限状态机描述了受到认知重评策略影响的情感状态转移过程;最后,根据情感状态转移概率和7种基本情感的空间坐标,得出受到刺激后机器人情感状态的空间位置.实验结果表明,与不受认知重评策略影响的情感交互模型相比,所提模型能够减少机器人对外界情感刺激的依赖,从而有效地促进了和谐的人机交互体验.
In order to enhance the robot’s cognitive emotion analysis ability, a cognitive emotion interaction model based on the Gross cognitive reappraisal strategy is proposed according to AVS(arousal-valence-stance)emotion space and finite state machine(FSM). By analyzing the Euclidean distance between the emotional states, the influence of external emotional stimuli on the emotional state transition probability is studied. Then, the emotional state transition process affected by the congnitive reappraisal strategy is described by finite state machine. Finally, according to the emotional state transition probability and the space coordinates of seven basic emotions, the space positions of the robot’s emotional state after emotional stimuli are derived. The experimental results show that compared with the emotional interaction model without the cognitive reappraisal strategy, the proposed model can reduce the robot’s dependence on external emotional stimuli, thus effectively promoting harmonious human-computer interaction experience