International Journal of Man-Machine Studies
LISP
An attempt to incorporate expertise about users into an intelligent interface for Unix
International Journal of Man-Machine Studies
Multimedia interaction with computers: human factors issues
Multimedia interaction with computers: human factors issues
Hypermedia generation from domain representations
PEG 91 Selected papers of the sixth international annual conference of the PEG group on Knowledge based environments for teaching and learning
Interface design and multivariate analysis of UNIX command use
ACM Transactions on Information Systems (TOIS)
Design rules based on analyses of human error
Communications of the ACM
Talking to UNIX in English: an overview of UC
Communications of the ACM
A diagnosis of beginning programmers' misconceptions of BASIC programming statements
Communications of the ACM
A technique for computer detection and correction of spelling errors
Communications of the ACM
Human Performance Engineering: A Guide for System Designers
Human Performance Engineering: A Guide for System Designers
Upsilon-pi-ADAPT-epsilon-rho: Individualizing hypertext
INTERACT '90 Proceedings of the IFIP TC13 Third Interational Conference on Human-Computer Interaction
A user interface for online assistance
ICSE '81 Proceedings of the 5th international conference on Software engineering
Hi-index | 0.00 |
Some user interfaces, such as that of Unix, aredifficult for novices to use, and this paper suggestsa possible solution to such problems. The results ofa study of Unix users enabled the development of ataxonomy of error types so that users' errors can beclassified. This information is encapsulated asproduction rules within a knowledge base and forms thebasis for the design and development of an intelligentinterface to Unix. The prototype makes inferencesabout users' mental models and uses these to selectappropriate tutorial advice. Performance of users ofthe prototype intelligent interface was compared withthat of users of the usual Unix interface. Theprototype users were found to make fewer errors,exhibit fewer misconceptions and take less time tocomplete a standard set of tasks.