Human plausible reasoning for intelligent help

Virvou, Maria and du Boulay, Benedict (1999) Human plausible reasoning for intelligent help. User Modeling and User-Adapted Interaction, 9 (4). pp. 321-375. ISSN 0924-1868

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This paper is about providing intelligent help to users interacting with an operating system. Its main focus is an investigation of Human Plausible Reasoning Theory (Collins & Michalski, 1989) to infer the commands the user should have typed, given what they did type. The theory has been adapted and incorporated into a prototype Intelligent Help System (IHS) for UNIX users, called RESCUER, and has been used for the generation and evaluation of hypotheses about users'' beliefs underlying the observed users'' actions on the UNIX file store. The hypotheses generated by RESCUER were compared to those made by human experts on the sample scripts from UNIX user sessions. The potential for Human Plausible Reasoning as a mechanism to reason about slips and misconceptions is discussed.

Item Type: Article
Keywords: User modelling, Intelligent help systems, human plausible reasoning, Error diagnosis, Plan recognition
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Chris Keene
Date Deposited: 19 Feb 2008
Last Modified: 23 Sep 2019 14:06
Google Scholar:43 Citations
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