Research

Rule-Based Conversation -Draft

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This entry is part 1 of 13 in the series The State of Chatbots

This entry is part 1 of 13 in the series The State of ChatbotsThe majority of current chatbots use a rule-based approach to interact with the user. In order to imitate human conversations, developers use a linguistic model combined with computational algorithms to build chatbots. Depending on the chatbot, rules can be based on simple […]

Research

Abstract -Draft

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This entry is part 2 of 13 in the series The State of Chatbots

This entry is part 2 of 13 in the series The State of ChatbotsAs humans we like familiarity, so it makes us more comfortable when we are able to interact with our computer systems using natural language. Chatbots are applications that have the ability to converse with users using natural language. However, while increasing numbers […]

Research

How do Humans View Chatbots? -Draft

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This entry is part 2 of 13 in the series The State of Chatbots

This entry is part 2 of 13 in the series The State of ChatbotsSince chatbots have moved into the public realm, there has been interest in evaluating how users interact with chatbots. For example, after analyzing conversations with the chatbot jabberwacky, one study found that the topics and style of conversations were broad (De Angeli […]

Research

Building Better Chatbots -Draft

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This entry is part 3 of 13 in the series The State of Chatbots

This entry is part 3 of 13 in the series The State of ChatbotsThe major goal of building a better chatbot is to improve its interactions with humans. A wide variety of techniques including developing different architectures, incorporating quirks or tricks, or using different machine learning approaches have been used to improve either chatbot accuracy […]

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Outline -Draft

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This entry is part 4 of 13 in the series The State of Chatbots

This entry is part 4 of 13 in the series The State of ChatbotsThis paper will focus on chatbots as natural language interfaces. Significant advances in chatbot development from the 1960s to the present will be discussed, followed by practical application of chatbots in public arenas. Details on the way that chatbots handle user-inputted text […]

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Improving Human-Like Qualities of Chatbots -Draft

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This entry is part 4 of 13 in the series The State of Chatbots

This entry is part 4 of 13 in the series The State of ChatbotsSome researchers are designing chatbots with the intent of integrating more natural human-like interactions (De Angeli & Brahnam, 2008). Specifically, the developer may program certain responses that would sacrifice accuracy, but confer more human-like traits (Sing et al., 2006). For example, if […]

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History – Significant Advances in Chatbot Development -Draft

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This entry is part 5 of 13 in the series The State of Chatbots

This entry is part 5 of 13 in the series The State of ChatbotsELIZA is considered one of the rst chatbots and was created at MIT by Weizenbaum (Weizenbaum, 1966). She was designed to be a psychotherapist, basing rules on the way psychotherapists ask  questions. Weizenbaum used his LISP list-processing language so that ELIZA could […]

Research

Improving Chatbot Accuracy -Draft

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This entry is part 5 of 13 in the series The State of Chatbots

This entry is part 5 of 13 in the series The State of ChatbotsResearchers have employed a variety of methods to improve their chatbot’s accuracy. Most current chatbots use a dialog management module and knowledge base and rules, which they use with templates to match user input. Improving chatbot accuracy may be accomplished through expanding […]