We demonstrate the conversational Chatbot platform named Chatti which supports developers with a tool to develop their chatbot easily without full understanding technologies inside a conversational chatbot. To develop a chatbot with Chatti, a developer inputs customized domain data and deploys his Chatbot with a tool. Then users can interact with the Chatbot based on natural language conversation via messengers and so on. Chatti includes natural language understanding, dialog management, action planning, natural language generation and chitchat component which run on g models learned from developers' input data as in common in conversational assistants such as Bixby, Siri, Alexa and etc. With Chatti, the developer could make his Chatbot support two types of conversation simultaneously – basic chitchat and task-oriented dialog. In contrast to prior chatbot building tools are mainly focused on the Natural Language Understanding, Chatti is more focused on full dialog system – dialog management, action planning, natural language generation and chitchat. We believe Chatti could accelerate a wide possibility of conversational Chatbot for services as well as IoT devices.

In this paper, we propose an intelligent dialogue agent for the IoT home. The goal of the proposed system is to efficiently control IoT devices with natural spoken dialogue. This system is made up of the following components: Spoken Language Understanding for analyzing textual input and understanding user intention, Dialogue Management with a State Manager that consists of dialogue policies, Context Manager for understanding the environment, Action Planner responsible for generating a sequence of actions to achieve user intention, Things Manager for observing and controlling IoT devices, and Natural Language Generation that generates natural language from computer-based representation. This system is fully implemented in software and is evaluated in a real IoT home environment.