Namah subjective and objective aspects of conversational agents focuses on the design and evaluation of Chatbot, a conversational agent for Natural Language Processing in An Android Application featuring a high number of different, unique characteristics: context dependent information, an support for different kind of dialogue types, i.e. chat, specific and general question answering, task oriented dialogues. The agent has currently implementations: as mobile phone application. ChatBot is an application that helps users and agents communicate easily with each other. It helps in maintaining a direct connection between users and agents. However, before this application, users get so many problems in getting their answers from the agent. The market is a communicative agent. There is no proper work done either. The user has to give their name and email address so that they can get the answer to their question and then the user gets the answer of their query after 24 hour via mail. And the information users want are either given from Google or given a link to it. so this conversational agent are easy to use. The query that the user put it will be given the correct answer to the same time or at a time. No matter how many people are logged into the questions, they will automatically get all the answers at the same time. We have set up a data set. Currently built for a one domain, we can work on this Multiplayer domain. The paper describes the modules and resources required for running the agent on both interfaces, as well as the evaluation results obtained from two assessment studies concerning the interaction design of these two agent interfaces. The feedback gathered from the studies will enable us to improve the applications in terms of service, performance and usability.
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