The LISP tutor: it approaches the effectiveness of a human tutor
BYTE - Lecture notes in computer science Vol. 174
Artificial intelligence
The use of logging data in the design of a new text editor
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User performance with command, menu, and iconic interfaces
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A quantitative model of the learning and performance of text editing knowledge
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A theory of stimulus-response compatibility applied to human-computer interaction
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Details of command-language keystrokes
ACM Transactions on Information Systems (TOIS)
Design rules based on analyses of human error
Communications of the ACM
The Elements of Friendly Software Design
The Elements of Friendly Software Design
The Architecture of Cognition
User Centered System Design; New Perspectives on Human-Computer Interaction
User Centered System Design; New Perspectives on Human-Computer Interaction
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
The theory of parsing, translation, and compiling
The theory of parsing, translation, and compiling
Design principles for human-computer interfaces
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Soft machines: A philosophy of user-computer interface design
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing for usability—key principles and what designers think
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human factors testing in the design of Xerox's 8010 “Star” office workstation
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparative study of moded and modeless text editing by experienced editor users
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How interface design determines Who has difficulty learning to use a text editor
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Planning units in text editing behavior
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Remindings and their effects in learning a text editor
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human Problem Solving
Embodiments of Mind
Software psychology: Human factors in computer and information systems (Winthrop computer systems series)
Disrupting digital library development with scenario informed design
Interacting with Computers
An extension of UML for the modeling of WIMP user interfaces
Journal of Visual Languages and Computing
Conceptualizing a possible discipline of human-computer interaction
Interacting with Computers
Editorial: Modelling user experience - An agenda for research and practice
Interacting with Computers
A human motor behavior model for distal pointing tasks
International Journal of Human-Computer Studies
A comparative study of four input devices for desktop virtual walkthroughs
Computers in Human Behavior
Beyond interaction: meta-design and cultures of participation
Proceedings of the 23rd Australian Computer-Human Interaction Conference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Action graphs and user performance analysis
International Journal of Human-Computer Studies
Predictive modelling for HCI problems in novice program editors
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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This paper discusses the prospects of psychology playing a significant role in the progress of human-computer interaction. In any field, hard science (science that is mathematical or otherwise technical) has a tendency to drive out softer sciences, even if the softer sciences have important contributions to make. It is possible that, as computer science and artificial intelligence contributions to human-computer interaction mature, this could happen to psychology. It is suggested that this trend might be prevented by hardening the applicable psychological science. This approach, however, has been critized on the grounds that the resulting body of knowledge would be too low level, too limited in scope, too late to affect computer technology, and too difficult to apply. The prospects for overcoming each of these obstacles are analyzed here.