Since the late 1990s when speech companies began providing their
customer-service software in the market, people have gotten used to speaking to
machines. As people interact more often with voice and gesture controlled
machines, they expect the machines to recognize different emotions, and
understand other high level communication features such as humor, sarcasm and
intention. In order to make such communication possible, the machines need an
empathy module in them which can extract emotions from human speech and
behavior and can decide the correct response of the robot. Although research on
empathetic robots is still in the early stage, we described our approach using
signal processing techniques, sentiment analysis and machine learning
algorithms to make robots that can "understand" human emotion. We propose Zara
the Supergirl as a prototype system of empathetic robots. It is a software
based virtual android, with an animated cartoon character to present itself on
the screen. She will get "smarter" and more empathetic through its deep
learning algorithms, and by gathering more data and learning from it. In this
paper, we present our work so far in the areas of deep learning of emotion and
sentiment recognition, as well as humor recognition. We hope to explore the
future direction of android development and how it can help improve people's
lives.

通过使用信号处理技术、情感分析和机器学习算法，我们提出了一个名为 Zara 的超级女孩的原型系统，通过学习和收集更多的数据，它可以越来越聪明、更有共情能力，并提出了深度学习情感和情感识别以及幽默识别领域的工作。