A Therapeutic Dialogue Agent for Polish Language

Artur Zygadło
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Abstract

Mental disorders affect large numbers of people worldwide. Computer-aided therapies have been designed and successfully applied in the context of mental health, including solutions based on artificial intelligence (AI). Application of AI in mental disorder therapies frequently has the form of dialogue systems. The long-term goal of this research is to develop a therapeutic chatbot capable of having a conversation in Polish. The initial work was focused on literature review and choosing the software framework for the dialogue system. As a next step, we have prepared a dataset of emotionally grounded dialogue turns in Polish, by applying machine translation to an existing resource for English. The resulting dataset was used for training an emotion recognition model which will be incorporated into the dialogue system. Next, the chatbot will be exposed to a group of test users, and its language understanding capabilities will be further developed. In future, the system will be equipped with a speech interface to also enable verbal communication. We plan to conduct experiments with the help of therapists and patients, followed by thorough analyses of their interactions with the chatbot.
波兰语治疗对话代理
精神障碍影响着全世界大量的人。计算机辅助疗法已被设计并成功应用于心理健康领域,包括基于人工智能的解决方案。人工智能在精神障碍治疗中的应用往往以对话系统的形式出现。这项研究的长期目标是开发一种能够用波兰语进行对话的治疗性聊天机器人。最初的工作集中在文献综述和选择对话系统的软件框架上。下一步,我们通过将机器翻译应用于现有的英语资源,准备了一个波兰语情感对话回合的数据集。生成的数据集用于训练情感识别模型,该模型将被纳入对话系统。接下来,这个聊天机器人将会被暴露给一组测试用户,它的语言理解能力将会进一步发展。未来,该系统将配备一个语音接口,也可以进行口头交流。我们计划在治疗师和患者的帮助下进行实验,然后对他们与聊天机器人的互动进行彻底分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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