Human plausible reasoning for intelligent help

被引:33
作者
Virvou, M [1 ]
Du Boulay, B
机构
[1] Univ Piraeus, Dept Informat, Piraeus 18534, Greece
[2] Univ Sussex, Sch Cognit & Comp Sci, Brighton BN1 9QH, E Sussex, England
关键词
user modelling; intelligent help systems; human plausible reasoning; error diagnosis; plan recognition;
D O I
10.1023/A:1008385523066
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:321 / 375
页数:55
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