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 Security and Privacy in the Age of Personal Assistants

Abstract: The rise of personal assistants serves as a testament to the growing popularity of chatbots. However, as the field advances, it is important for the conversational AI community to keep in mind any potential vulnerabilities in existing architectures and how attackers could take advantantage of them. Towards this end, we present a survey of existing dialogue system vulnerabilities in security and privacy. We define chatbot security and give some background regarding the state of the art in the field. This analysis features a comprehensive description of potential attacks of each module in a typical chatbot architecture: the client module, communication module, response generation module, and database module.

Argumentative Human Computer Dialogue for Automated Persuasion

Abstract: Argumentation is an emerging topic in the field of human computer dialogue. In this paper we describe a novel approach to dialogue management that has been developed to achieve persuasion using a textual argumentation dialogue system. The paper introduces a layered management architecture that mixes task-oriented dialogue techniques with chatbot techniques to achieve better persuasiveness in the dialogue.

ConvAI Dataset of Topic-Oriented Human-to-Chatbot Dialogues

Abstract: This paper contains the description and the analysis of the dataset collected during the Conversational Intelligence Challenge (ConvAI) which took place in 2017. During the evaluation round we collected over 4,000 dialogues from 10 chatbots and 1,000 volunteers. Here we provide the dataset statistics and outline some possible improvements for future data collection experiments.

Survey on psychotherapy chatbots

Abstract: This survey aims to investigate, analyze, and compare the state‐of‐the‐art chatbots' feasibility and defects for psychotherapy. The survey points out a series of tasks necessary for future psychotherapy chatbots. We searched about 1200 related literature in public databases and selected five typical and state‐of‐the‐art psychotherapy chatbots. Most of the state‐of‐the‐art psychotherapy chatbots use retrieval‐based methods to generate dialogs. Some psychotherapy chatbots incorporate psychological theories, such as cognitive behavior therapy, to solve unique psychological problems. The assessments show that chatbots can preliminarily recognize specific kinds of negative emotions and give relatively appropriate responses. The randomized controlled trials prove that psychotherapy chatbots are useful for some people with a mental health condition. Compared with real psychologists, psychotherapy chatbots have some advantages, such as accessibility without the limitation on time or location. However, some critical technical obstacles limit the usage of psychotherapy chatbots. The limitations require a series of necessary tasks for more effective and safer psychotherapy chatbots, such as collecting standard, valid, real, and rich corpora. In conclusion, current psychotherapy chatbots can hardly replace human psychologists in the short term, but they can improve human psychologists' effectiveness and efficiency as an auxiliary tool.

A Smart Virtual Assistant for Students

Abstract: Chatbot has become more popular in business as they can reduce customer service cost and handles multiple users at a time with a round the clock availability, reliability, and accessibility. However, chatbot uses in education are still in their infancy. At the same time, college students must recurrently navigate challenging tasks, such as building graduation plans, learning about majors, retrieving information about courses and scheduling among others. Without timely and on-demand assistance and support, many students fail to raise these challenges. To address this problem, we present a smart virtual assistant for students that provides continuous instant support to student, staff and faculty communities. In order to verify and validate our proposed model, a pilot projet has been set up involving three leading academic institutions in Minnesota; Century College, Metro State University and St. Cloud State University