Chatbot

About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.

Chatbot system and method having auto-select input message with quality response

Abstract: A candidate message chatbot system and method. The chatbot includes an interactive dialog interface for engaging in a chat session with a user. The user can enter one or more characters as an input message during the chat session. The chatbot can match the one or more characters with a plurality of candidate messages in a knowledge database, the plurality of candidate input messages being part of input/output knowledge entry or known to generate at least a quality response.

IBM Watson Application as FAQ Assistant about Moodle

Abstract: This complete research work presents the use of chatbot in the educational context for automation of care to the student of higher education. Due to the evolution of technologies in educational and professional contexts, new teaching/learning methods have been an emerging demand for today’s society. The expansion of learning modalities such as face-to-face, combined and distance learning as well as demand anywhere, at any time, has been a premise in these education systems. With the advancement of virtual learning environments (VLEs), successful interaction depends on solutions that enable efficient communication between the student and the educational context. One way to achieve this goal has been to use chatbots to respond to students’ questions in the educational field. This has become possible through artificial intelligence and natural language processing embodied in simple service platforms. The purpose of this article is to develop a chatbot that interacts with students through text messages, on subjects in a closed context, to students’ doubts about the Higher Education Institution Course. To validate chatbot performance, it will be submitted to a set of questions of the same context that were not correctly answered in the previous interactions. The results of these interactions will be analyzed in order to verify the efficiency and contribution of a chatbot as a support tool for the student. It is hoped that this study contributes to solutions for assistance automation in the learning context.

Study of Kumaon Language for Natural Language Processing in End-to-End Conversation Scenario

Abstract: Natural language processing is one of the essential activities of artificial intelligence. There is an excellent need for chatbots that require integration into artificial intelligence applications. The local language makes the process easier. Our research aims to analyze the possibilities and challenges of implementing a chatbot in the Kumaon language. We also provide a detailed survey of the Kumaon language and map it to other languages to make it easier to process it for industrial use. This chatbot can help with various needs and services in the Kumaon language. The method used in this research is a study analysis of the Kumaon language to deal with language extinction. The novelty in this research is a chatbot in the Kumaon language with end-to-end encryption so that the service user has good security.

An architectural design of Virtual Dietitian (ViDi) for diabetic patients

Abstract: Artificial Intelligence chatbot is a technology that makes interaction between man and machine using natural language possible. In this paper, we proposed the architectural design of Virtual Dietition (ViDi), a chatbot that will function as virtual dietitian for diabetic patients. A general a history of a chatbot, a brief description of each chatbots is discussed. We proposed the use of new technique that will be implemented in ViDi as the key component to function as virtual dietitian. In architectural design of ViDi, Vpath is used to remember the conversation path. The architectural design will allow chatbot ViDi to response to the whole conversation as it specifically designed to be a Virtual Dietitian.

The potential for chatbots in negotiated learner modelling: a wizard-of-oz study

Abstract: This paper explores the feasibility of using conversational agents, or chatbots, in negotiated learner modelling. This approach aims to combine the motivational, intuitive and domain-independent benefits of natural language dialogue using a chatbot, with the opportunities for learner reflection and increased model accuracy that can be achieved through negotiation of the learner model contents. A Wizard-of-Oz paradigm allowed investigation into the interactions between learners and their learner model in order to highlight key issues for the design of a chatbot for this purpose. Users appreciated interacting with a chatbot, and found it useable and an aid to negotiation. The study suggested many avenues for future investigation of the role of conversational agents in facilitating user-system dialogue about learner understanding.