PsyChat: A Client-Centric Dialogue System for Mental Health Support
CoRR(2023)
摘要
Dialogue systems are increasingly integrated into mental health support to
help clients facilitate exploration, gain insight, take action, and ultimately
heal themselves. For a dialogue system to be practical and user-friendly, it
should be client-centric, focusing on the client's behaviors. However, existing
dialogue systems publicly available for mental health support often concentrate
solely on the counselor's strategies rather than the behaviors expressed by
clients. This can lead to the implementation of unreasonable or inappropriate
counseling strategies and corresponding responses from the dialogue system. To
address this issue, we propose PsyChat, a client-centric dialogue system that
provides psychological support through online chat. The client-centric dialogue
system comprises five modules: client behavior recognition, counselor strategy
selection, input packer, response generator intentionally fine-tuned to produce
responses, and response selection. Both automatic and human evaluations
demonstrate the effectiveness and practicality of our proposed dialogue system
for real-life mental health support. Furthermore, we employ our proposed
dialogue system to simulate a real-world client-virtual-counselor interaction
scenario. The system is capable of predicting the client's behaviors, selecting
appropriate counselor strategies, and generating accurate and suitable
responses, as demonstrated in the scenario.
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