A structured approach to designing human-computer dialogues
International Journal of Man-Machine Studies
Adaptive interface design: a symmetric model and a knowledge-based implementation
COCS '86 Proceedings of the third ACM-SIGOIS conference on Office information systems
Interface design and multivariate analysis of UNIX command use
ACM Transactions on Information Systems (TOIS)
Talking to UNIX in English: an overview of UC
Communications of the ACM
Pattern-Directed Inference Systems
Pattern-Directed Inference Systems
Automatic construction of explanation networks for a cooperative user interface
CHI '81 Proceedings of the Joint Conference on Easier and More Productive Use of Computer Systems. (Part - II): Human Interface and the User Interface - Volume 1981
Sauci: self-adaptive user-computer interface (expert systems, artificial intelligence)
Sauci: self-adaptive user-computer interface (expert systems, artificial intelligence)
A framework of characteristics applicable to graphical user-computer interaction
UODIGS '76 Proceedings of the ACM/SIGGRAPH Workshop on User-oriented Design of Interactive Graphics Systems
CHI '88 Workshop on Real Time, decision support computer-human interaction
ACM SIGCHI Bulletin
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Most current approaches to the design of the human-computer interface result in systems that are difficult for users to master. This can be attributed to the absence of several key features, including: interface modularity; adaptability to the individual user; direct support of user intentions; and an intelligent advising capability. An architecture for the interface which facilitates the attainment of these four criteria is proposed. The architecture relies upon production system rules and various kinds of knowledge bases to tailor the user-computer dialogue to the ongoing context of the interaction. A prototype of this architecture has been implemented in LOOPS for interfacing to the UNIX system, and has been shown to enhance substantially the performance of novice users of the system.