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Dialogue systems are increasingly integrated into mental health support tohelp clients facilitate exploration, gain insight, take action, and ultimatelyheal themselves. For a dialogue system to be practical and user-friendly, itshould be client-centric, focusing on the client's behaviors. However, existingdialogue systems publicly available for mental health support often concentratesolely on the counselor's strategies rather than the behaviors expressed byclients. This can lead to the implementation of unreasonable or inappropriatecounseling strategies and corresponding responses from the dialogue system. Toaddress this issue, we propose PsyChat, a client-centric dialogue system thatprovides psychological support through online chat. The client-centric dialoguesystem comprises five modules: client behavior recognition, counselor strategyselection, input packer, response generator intentionally fine-tuned to produceresponses, and response selection. Both automatic and human evaluationsdemonstrate the effectiveness and practicality of our proposed dialogue systemfor real-life mental health support. Furthermore, we employ our proposeddialogue system to simulate a real-world client-virtual-counselor interactionscenario. The system is capable of predicting the client's behaviors, selectingappropriate counselor strategies, and generating accurate and suitableresponses, as demonstrated in the scenario.

PsyChat: A Client-Centric Dialogue System for Mental Health Support