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.

An analysis of children' interaction with an AI chatbot and its impact on their interest in reading

Abstract: Educators have indicated that social approaches to reading such as book talk activities are helpful for promoting students' interest in reading. However, it is not possible for teachers to interact with all students to talk about the books they have read as they have different language proficiency levels and different topics of interest. This study thus aimed to understand the affordances of a chatbot built with artificial intelligence techniques as a book talk companion, and to explore the role of the interaction in students' engagement and interest in reading. Adopting AI techniques, the chatbot in this study had basic understanding of 157 books. While students could choose any of the books to read and interact with the chatbot, the chatbot provided book talk and social affective cues to facilitate the book talk. Multiple data sources from 68 students participating in a 6-week reading activity were collected and analyzed. It was found that students perceived a high level of social connection with the chatbot. In particular, students talking with the chatbot maintained a stable level of situational interest in the value dimension, while the interest of those who did not participate in the book talk with the chatbot faded significantly. Students' perceptions of the social connection with the chatbot were closely related to their engagement in the reading activity and correlated with both their triggered-situational interest and maintained situational interest. The results provide insights into how a chatbot with AI techniques can create a positive reading experience to sustain students’ interest in learning. • AI-enabled chatbots can act as reading companions. • Chatbots maintained high level of social connection with students. • Social connection with chatbots was closely related to situational interest. • AI techniques can be an alternative to facilitate the social reading practice.

The Dawn of the Conversational Interface

Abstract: With a conversational interface, people can speak to their smartphones and other smart devices in a natural way in order to obtain information, access Web services, issue commands, and engage in general chat. This chapter presents some examples of conversational interfaces and reviews technological advances that have made conversational interfaces possible. Following this, there is an overview of the technologies that make up a conversational interface.

It's How You Say It: Identifying Appropriate Register for Chatbot Language Design

Abstract: Designing chatbots that produce language that is natural and appropriate to a given context is critical in satisfying user expectations. Currently, little is known about how a chatbot's linguistic choices should be designed to conform with the language humans produce in similar contexts. In this paper, we draw on existing sociolinguistic theory to adapt a technique calledregister analysis to (a) characterize the linguistic register used by humans in a specific conversational context; and (b) drive chatbot language design. Our exploratory study investigates the application of register analysis for tourist assistants chatbots and shows how the results could be used to develop them to adopt the appropriate register.

Smart Chatbot System for E-Commerce Assitance based on AIML

Abstract: Currently, the conventional market is starting to be replaced with many online markets. The tight online market competition demands excellent service from sellers to buyers, so many online stores provide full 24-hour service. This service certainly requires a lot of money if done manually. Chatbot can be used as a solution to automatically shop online. Then the bot must be able to provide an accurate and fast response. This study proposes an intelligent chatbot system based on Artificial Intelligence Markup Language (AIML) which can be used as an e-commerce assistant. This Chatbot is applied to the Telegram application. Input questions from users will be processed through three stages, namely, parsing, pattern matching and crawling data using AIML. In the AIML process, user requests are classified into three categories, namely general questions, calculations, and stock checks. Where the calculation request traps the order and payment process. Based on the results of 300 trials, the proposed method can answer all user requests well, with an average response time of 3.4 seconds.

NEU-chatbot: Chatbot for admission of National Economics University

Abstract: In the last few years, intelligent chatbot systems have been prevalent in various application fields, especially in education. Therefore, the demand for such online consulting services like chatbots is getting higher respectively. However, most communications between potential students and universities are performed manually, which is very time-consuming procedure, becoming a burden on the head of admissions. In this paper, we introduce an AI-based chatbot where students can instantly get daily updates of curriculum, admission for new students, tuition fees, IELTS writing task II score, etc. Our chatbot was developed by Deep Learning models, which are already integrated into the Rasa framework. We also proposed a rational pipeline for Vietnamese chatbots with our data preprocessing to obtain optimal accuracy and to avoid the overfitting of the model. Our model can detect more than fifty types of questions from users' input with an accuracy of 97.1% on test set. The chatbot was applied for National Economics University's official admission Fanpage on the Facebook platform, which is the most famous social network in Vietnam. This research shows detailed guidelines on how to build an AI chatbot from scratch, and the techniques we used, which can be applied to any language globally.