  Conversational artificial intelligence can already independently engage in
brief conversations with clients with psychological problems and provide
evidence-based psychological interventions. The main objective of this study is
to improve the effectiveness and credibility of the large language model in
psychological intervention by creating a specialized agent, the VCounselor, to
address the limitations observed in popular large language models such as
ChatGPT in domain applications. We achieved this goal by proposing a new
affective interaction structure and knowledge-enhancement structure. In order
to evaluate VCounselor, this study compared the general large language model,
the fine-tuned large language model, and VCounselor's knowledge-enhanced large
language model. At the same time, the general large language model and the
fine-tuned large language model will also be provided with an avatar to compare
them as an agent with VCounselor. The comparison results indicated that the
affective interaction structure and knowledge-enhancement structure of
VCounselor significantly improved the effectiveness and credibility of the
psychological intervention, and VCounselor significantly provided positive
tendencies for clients' emotions. The conclusion of this study strongly
supports that VConselor has a significant advantage in providing psychological
support to clients by being able to analyze the patient's problems with
relative accuracy and provide professional-level advice that enhances support
for clients.
