The acquisition of text editing skills
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
User models of text editing command languages
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
Learning to use a text processing system: Evidence from “thinking aloud” protocols
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
Interface design issues for advice-giving expert systems
Communications of the ACM
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Strategic approach to computer literacy
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Fostering motivation and creativity for computer users
International Journal of Human-Computer Studies - Special issue: Computer support for creativity
Visualisation improves the usability of voice-operated mobile phone services
International Journal of Human-Computer Studies
ACM Transactions on Computer-Human Interaction (TOCHI)
Softening up hard science: reply to newel1 and card
Human-Computer Interaction
Inferring user expertise for adaptive interfaces
Human-Computer Interaction
The strategic use of complex computer systems
Human-Computer Interaction
An intelligent assistant for mathematical production
Proceedings of the 7th International Conference on Frontiers of Information Technology
International Journal of Human-Computer Studies
Adaptive browsing: Sensitivity to time pressure and task difficulty
International Journal of Human-Computer Studies
How to motivate people to use internet at home: understanding the psychology of non-active users
Proceedings of the 10th asia pacific conference on Computer human interaction
Understanding the process of learning touch-screen mobile applications
Proceedings of the 31st ACM international conference on Design of communication
Hi-index | 0.02 |
What are the effects of experience on text editing behavior? Do users inevitably develop optimal strategies for getting their work done? The answer to such questions are becoming increasingly important, as more and more individuals begin to use word processing equipment routinely. In the best of all possible worlds, experienced users do become experts, able to quickly and accurately choose and execute optimal procedures to accomplish any given goal. Such a state of affairs would make designers of editing systems very happy indeed. But another alternative exists, that at least some proportion of experienced and frequent users stabilize at some nonoptimal level of skill. An initial survey of relevant research is encouraging. So, for example, Card, Moran, and Newell (1980) were able to deduce selection rules from experienced users' editing behavior that predicted 80% of their editing decisions, suggesting that experienced users have fairly well-defined heuristics for carrying out editing tasks. Tyler and Roth (1982) followed up on this work, demonstrating that novices were less likely to demonstrate selection rules than experienced users, preferring instead to rely on a single, sometimes inefficient, strategy. Finally, Folley and Williges (1982) demonstrated that when confronted with the description of a novel editor, users experienced on other systems make use of a greater number of commands in carrying out a paper-and-pencil application of the editor than do complete novices.