Empathetic and Personalized Conversational AI for Promoting Human Well-Being (Li Chen, Yucheng Jin, et al.)

The outbreak of COVID-19 has not only produced damaging economic and political effects, but it has also posed a huge threat to people's psychological well-being. To alleviate the psychological pressures, we aim to develop a broadly accessible AI-empowered solution to promote people's psychological well-being during and after COVID-19. We will base our long-term research experiences on the areas of artificial intelligence (in particular, human-computer interaction, web personalization and natural language processing), psychology (in particular, psychological well-being and meaningful existence), and digital communication (in particular, human-machine communication design principles and media effects) to develop empathetic and personalized conversation systems for this goal.

There can be three key topics in this research theme:

  1. Keeping track of the users' mood through friendly and casual chats for increasing their self-awareness

  2. Assisting in addressing users' loneliness, lack of meaning, and stress by means of providing in-time, personalized service and support. The psychological intervention approaches will be embodied into our system for enabling their broad accessibility.

  3. Enabling the mixed-initiative fact-checking for health information through conversational interaction.


For further information on this research topic, please contact Prof. Li Chen.