This article proposes an embodied conversational agent named Arthur. In addition to being able to talk to a person (using text and voice), he is also able to recognize the person he is talking to and detect his/her expressed emotion through facial expressions. Arthur uses these skills to improve communication with the user, also using his artificial memory, which stores and retrieves data about events and facts, based on a human memory model. We conducted some experiments to collect quantitative and qualitative information, which show that our model provides a consistent impact on users.

翻译：文章提议了名为Arthur的具有内涵的谈话代理人。除了能够与一个人交谈(使用文字和声音)之外,他还能够识别和通过面部表情检测到他/她表达的情感。 Arthur利用这些技能改善与用户的沟通,还利用他的人为记忆,根据人类记忆模型储存和检索关于事件和事实的数据。我们进行了一些实验,收集定量和定性信息,这表明我们的模型对用户产生了持续的影响。