The growing need for psychological support due to increasing pressures has exposed the scarcity of relevant datasets, particularly in non-English languages. To address this, we propose a framework that leverages limited real-world data and expert knowledge to fine-tune two large language models: Dialog Generator and Dialog Modifier. The Generator creates large-scale psychological counseling dialogues based on predefined paths, which guide system response strategies and user interactions, forming the basis for effective support. The Modifier refines these dialogues to align with real-world data quality. Through both automated and manual review, we construct the Chinese Psychological support Dialogue Dataset (CPsDD), containing 68K dialogues across 13 groups, 16 psychological problems, 13 causes, and 12 support focuses. Additionally, we introduce the Comprehensive Agent Dialogue Support System (CADSS), where a Profiler analyzes user characteristics, a Summarizer condenses dialogue history, a Planner selects strategies, and a Supporter generates empathetic responses. The experimental results of the Strategy Prediction and Emotional Support Conversation (ESC) tasks demonstrate that CADSS achieves state-of-the-art performance on both CPsDD and ESConv datasets.

This paper presents "Emotion Talk," a system designed to provide continuous emotional support through audio messages for psychological assistance. The primary objective is to offer consistent support to patients outside traditional therapy sessions by analyzing audio messages to detect emotions and generate appropriate responses. The solution focuses on Portuguese-speaking users, ensuring that the system is linguistically and culturally relevant. This system aims to complement and enhance the psychological follow-up process conducted by therapists, providing immediate and accessible assistance, especially in emergency situations where rapid response is crucial. Experimental results demonstrate the effectiveness of the proposed system, highlighting its potential in applications of psychological support.

In the face of the ongoing Syrian refugee crisis, a start-up that develops AI is to puts its technology to use as a psychological aid for refugees by having supportive conversations with them via SMS messages. In the midst of a civil war and a near-total collapse of society, millions of Syrian refugees have been fleeing their country in search of anywhere where they can live safe in the knowledge their life is not under threat, but not without great psychological stress on those involved. However, due to the sheer number of people fleeing, and the difficulty they experience in simply trying to find shelter, they are unlikely to receive any form of support for the sake of their mental health. According to The Guardian, however, a start-up that develops AI, X2AI, is to use its systems to create a chatbot called Karim, which will allow anyone with a mobile phone to have conversations with it about their experiences in Arabic. Once the conversation becomes more developed, Karim will use its natural language processors to analyse the likely emotional state of the human on the other end and react with an appropriate response or questions for the refugee.