(DEEP) Deep Emotion Processing for Social Agents Combining Social Signal Interpretation
and Computationally Modeling User Emotions

DEEP项目解决了将外部世界与与个人情感相关的内部象征性情景表征联系起来的挑战。因此，该项目创建并评估了一个独特的组合，该组合将人类社会信号的实时解释和人类与社会Agent之间二元通信设置中的情绪的实时计算模型结合起来。该组合依赖于对通信情绪的复杂表示，以及内部情绪，可能的情绪诱发者和情绪目标，合适的情绪调节策略，以及相关的社会信号序列和方向。在运行时，基于对人类对话伙伴的社交信号的解释，创建用户情绪的心理表示的动态理论。它包含所有可能的内部用户情绪，以及相关的心理状态和认知策略。因此，这种方法允许第一次的实时计算消歧的情绪诱发器，情绪目标，并认识到可能的情绪调节策略的基础上的社会signals.Overall的解释，深度项目实现了一个计算的实时模型，描述，在一个象征性的水平上，如何社会线索可以链接到情绪评价上下文和内部情绪状态。该模型考虑了用户的个性、角色、状态、关系和其他个人价值。DEEP模型在人类和社会代理之间的二元对话中进行评估。在未来，深度模型可以被利用为下一代社会代理应用程序的创建和调查，通过扩展这种系统的用户模型的内部情感和情绪调节策略的实时模型。这允许对人类用户的当前情况的更移情的适应。

The DEEP project tackles the challenge of connecting the outside world with internal symbolic situational representations that are related to individual human emotions. Therefore, the project creates and evaluates a unique combination of a real-time interpretation of human social signals and a real-time computational model of emotions in a dyadic communication setup between a human and a Social Agent.The combination relies on a sophisticated representation of communicative emotions, and internal emotions, possible emotion elicitors and emotion targets, suitable emotion regulation strategies, and related sequences of social signals and its directions. At runtime, based on the interpretation of the social signals of a human dialog partner, a dynamic theory of mind representation of user emotions is created. It holds all possible internal user emotions with related mental states and cognitive strategies. As a result, this approach allows for a first time a real-time computationally disambiguation of emotion elicitors, emotion targets, and the recognition of possible emotion regulation strategies based on the interpretation of social signals.Overall, the DEEP project realizes a computational real-time model that describes, on a symbolic level, how social cues can be linked to emotional appraisal context and internal emotional states. The model takes the personality, role, status, relation(s), and other individual values of a user into account. The DEEP model is evaluated in dyadic dialogs between a human and a Social Agent. In the future, the DEEP model can be exploited for the creation and investigation of next generation Social Agent applications by extending the user model of such systems by a real-time model of internal feelings and emotion regulation strategies. This allows a more empathic adaptation to the current situation of a human user.