Abstract
This paper presents an empirical study and analysis of natural dialogues between experts, novices and partial experts. From this analysis a theory of explanation dialogues is developed known as Extended Schema based Theory (EST). In EST questions are interpreted by combining information from different, semantically related question types which together best capture the essence and meaning of the question. This theory is then applied to the design of an architecture and computational model of interpreting questions and generating explanations. The expert system, named EXPLAIN, understands the nature of the question and is able to take account of the previous dialogue. Also, the system can tailor its responses to an individual user’s characteristics, including level of expertise and depth of knowledge in the domain.
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Sarantinos, E., Johnson, P. (1991). Allowing Multiple Question Types to Influence the Resulting Explanation Structure. In: McTear, M.F., Creaney, N. (eds) AI and Cognitive Science ’90. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3542-5_20
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DOI: https://doi.org/10.1007/978-1-4471-3542-5_20
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