由於現今社會的快速發展帶來了激烈競爭，青少年在就學時期就得面臨高度的學業壓力，除此之外，還有家庭、人際互動的種種煩惱，若這些壓力無法得到妥善處理，最終可能導致嚴重的後果，但據研究顯示，僅5成有心理疾病的人曾尋求協助，許多人可能會因為羞於表露自我而選擇迴避或不去重視自己的心理問題。而隨著智慧型手機和即時通訊軟體的發展，使得聊天型機器人逐漸崛起，經報導指出，有些人在與聊天機器人互動時，由於無需擔心恥辱或成見，會比跟人類治療師還能放鬆並敞開心扉，因此聊天機器人有潛力成為輔助與擴展人類治療師工作的絕佳工具。
本研究透過文獻分析法進行關懷行為之探討與實踐方式，在使用系統建置與驗證法，將關懷行為應用至聊天機器人上，並提出一套關懷型聊天機器人的開發架構及指引。使用問卷統計的方式進行驗證，針對大學生進行關懷型聊天機器人實測，發現使用過聊天機器人的人之中，只有少數人有使用過關懷型聊天機器人，系統提供有幫助的關懷資訊，並且可舒緩使用者心中的壓力或情緒。
本研究認為關懷型聊天機器人應有目的性的給予使用者激勵與鼓勵以及恰當的建議，讓使用者在無意識中，進行思想認知重組，改善使用者對於本身的淺在心理問題。本研究透過網路資源或對談內容取得使用者自身的故事與經歷，依照分析出的情緒與需求，透過自然語言理解技術試圖理解使用者意圖，提供能有效解決使用者心理壓力的方法。

Nowadays, rapid social development has brought about fierce competition. Thus, teens face high academic pressure when they are in school. In addition, teens also face pressure from family and interpersonal relationships. Therefore, if these pressures are not released properly, it might cause a serious problem in the end. According to the research, only 50 percent of the patients had asked for help. Most people choose to ignore their mental issues because they do not think it is important to mention them. Moreover, the ChatBot is gradually growing with the development of applications. On the other hand, some people are more willing to talk to the ChatBot rather than to a real therapist. The reason is people can talk about anything without worrying about prejudice. Hence, ChatBot is seen as the best tool to help with therapy.

The study and methods of this research on caring behavior are carried out through literafure analysis. The research uses systematic construction and experiments to implement the caring behavior on the ChatBot. And thereby, suggests a framework and guidelines for designing a Caring ChatBot. The research uses the questionnaire method to validate the effectiveness of the Caring ChatBot. Thus, the research results showed that only a few people who used the Caring ChatBot felt that the chat was useful. Moreover, they felt better and were able to cope with their pressure.

The Caring ChatBot is considered to have a purpose to encourage users and give proper suggestions. Thus, the users can reorganize their thinking and improve their mental problems subconsciously. The research collects the users' stories and experience from internet data or conversations with the users. Then, the system analyzes the users' emotion and needs. Besides, the system uses NLP to understand the users' intentions and thereby provides an effective method to help the users to cope with their mental pressure.

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