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Human plausible reasoning for intelligent help
journal contribution
posted on 2023-06-07, 14:07 authored by Maria Virvou, Benedict du BoulayThis 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.
History
Publication status
- Published
Journal
User Modeling and User-Adapted InteractionISSN
0924-1868Publisher
Kluwer Academic PublishersExternal DOI
Issue
4Volume
9Page range
321-375Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes