因社群網路應用的普及，近年來有許多組織會於其上部署聊天機器人服務，以降低和客戶的溝通成本。然而，對使用者來說，就可能會需要使用多個組織的聊天機器人，而會承擔重複地對不同組織的聊天機器人作類似事情的成本。為了降低使用者重複作業的成本，本研究提出聯盟聊天服務框架。該框架允許企業或開發者可以透過該框架的規則與介面提供聊天服務，而該框架會整合使用者在使用不同聊天服務的行為紀錄，並在使用者同意的前提下讓聊天服務得知這樣的紀錄，而減少使用者需要重新讓一個組織的聊天服務掌握到其需求或偏好的時間與成本。
為了驗證提出框架的可行性，本研究也依照所提出的框架實作了雛型系統：使用者可以查詢並選擇特定服務進行對話，也能紀錄當前對話，並且將其對話內容授權給其他服務商；服務商可以藉由使用者的授權存取使用者允許的對話紀錄，進而為使用者提供客製化服務。此外，服務商也能夠透過統一訊息介面回傳訊息給使用者。而本研究的貢獻，即在於提供這樣的框架，以降低使用者與不同聊天機器人溝通時的轉換成本。

Recent advances in artificial intelligence technology have contributed to the rebirth of the chatbot. Also, as the popularity of social network applications, more and more organizations are willing to deploy chatbots on social network applications to provide a means for users to communicate with the organizations directly and efficiently. However, when a person uses chatbots of different organizations, the person may suffer from the cost to provide the same data over and over to the chatbots.
Therefore, this study proposes the Federated Chat Service Framework. Instead of deploying chatbots on social network applications, the framework defines chat services. Organizations can implement their chat services and deploy the services on the framework. The framework plays the role of a mediator to maintain the communication channel between users and chat services and provide a user-friendly means for users to switch among different chat services.
To validate the proposed framework, the thesis implement a prototype system. In the prototype system, a user can discover a chat service and communicate with the service easily with a set of defined commands. Also, the prototype system record chat logs of the user and share the logs with other chat services under user consent, Therefore, even a user uses a new chat service, the service can obtain the historical logs to understand the intents of the user efficiently. Moreover, the prototype system provides a standard messaging interface for a chat service provider to push notification messages to users for asynchronous communication. Therefore, the proposed framework can contribute to reducing the costs of using different chatbots.

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