Oh Kyo-Joong, Lee DongKun, Ko ByungSoo, Hyeon Jonghwan, Choi Ho-Jin
School of Computing, KAIST, Daejeon, Korea.
Stud Health Technol Inform. 2017;245:1235.
There are earlier studies for psychiatric counseling using chat bots. These studies have not considered the user's emotional status and ethical judgment to provide interventions. This paper proposes an intelligent assistant for psychiatric counseling that understands dialogues using high-level features of natural language understanding, and multi-modal emotion recognition. A response generation model using machine leaning provides suitable responses for clinical psychiatric counseling.
对于使用聊天机器人进行心理咨询，已有早期研究。这些研究在提供干预措施时未考虑用户的情绪状态和伦理判断。本文提出了一种用于心理咨询的智能助手，它利用自然语言理解的高级特征和多模态情感识别来理解对话。一种使用机器学习的响应生成模型为临床心理咨询提供合适的响应。
