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 […]

Research

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 […]

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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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

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 […]

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Natural Language Processing -Draft

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This entry is part 8 of 13 in the series The State of Chatbots

This entry is part 8 of 13 in the series The State of ChatbotsChatbots need to effectively process natural language. Since starting around the 1960’s, natural language processing (NLP) research has had slow progress until the 1990’s (Lester, Branting, & Mott, 2004). NLP research has been greatly enhanced by development of large corpora of tagged […]

Research

Practical Applications of Chatbots -Draft

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This entry is part 6 of 13 in the series The State of Chatbots

This entry is part 6 of 13 in the series The State of ChatbotsChatbots are currently being used in a variety of public arenas. Chatbots are being used as tutors and in the classroom. For example, CLIVE is used to practice language, help users0 conversational skills, and is based on myCybertwin technology; a commercial AI […]

Research

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 […]