Technol Health Care. 2024;32(6):3871-3888. doi: 10.3233/THC-230809.
In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare.
This research aims to explore the role of Artificial Intelligence (AI) technology in psychological counseling and utilize machine learning algorithms to predict counseling outcomes.
Firstly, by employing natural language processing techniques to analyze user conversations with AI chatbots, researchers can gain insights into the psychological states and needs of users during the counseling process. This involves detailed analysis using text analysis, sentiment analysis, and other relevant techniques. Subsequently, machine learning algorithms are used to establish predictive models that forecast counseling outcomes and user satisfaction based on data such as user language, emotions, and behavior. These predictive results can assist counselors or AI chatbots in adjusting counseling strategies, thereby enhancing counseling effectiveness and user experience. Additionally, this study explores the potential and prospects of AI technology in the field of psychological counseling.
The research findings indicate that the designed machine learning models achieve an accuracy rate of approximately 89% in analyzing psychological conditions. This demonstrates significant innovation and breakthroughs in AI technology. Consequently, AI technology will gradually become a highly important tool and method in the field of psychological counseling.
In the future, AI chatbots will become more intelligent and personalized, providing users with precise, efficient, and convenient psychological counseling services. The results of this research provide valuable technical insights for further improving AI-supported psychological counseling, contributing positively to the application and development of AI technology.
近年来，人工智能（AI）技术不断进步，得到广泛应用，其核心技术之一机器学习在医疗保健领域的应用越来越多。
本研究旨在探讨人工智能（AI）技术在心理咨询中的作用，并利用机器学习算法预测咨询结果。
首先，通过使用自然语言处理技术分析用户与 AI 聊天机器人的对话，研究人员可以深入了解用户在咨询过程中的心理状态和需求。这涉及使用文本分析、情感分析和其他相关技术进行详细分析。然后，使用机器学习算法根据用户语言、情感和行为等数据建立预测模型，预测咨询结果和用户满意度。这些预测结果可以帮助咨询师或 AI 聊天机器人调整咨询策略，从而提高咨询效果和用户体验。此外，本研究还探讨了 AI 技术在心理咨询领域的潜力和前景。
研究结果表明，设计的机器学习模型在分析心理状况方面的准确率约为 89%。这表明 AI 技术取得了重大的创新和突破。因此，AI 技术将逐渐成为心理咨询领域的重要工具和方法。
未来，AI 聊天机器人将变得更加智能和个性化，为用户提供精确、高效、便捷的心理咨询服务。本研究的结果为进一步改进 AI 支持的心理咨询提供了有价值的技术见解，为 AI 技术的应用和发展做出了积极贡献。
