Mode errors: a user-centered analysis and some preventative measures using keying-contingent sound
International Journal of Man-Machine Studies
Features and objects in visual processing
Scientific American
How would your favourite user model cope with these scenarios?
ACM SIGCHI Bulletin
Problem solving and cognitive skill acquisition
Foundations of cognitive neuroscience
A dual-space model of iteratively deepening exploratory learning
International Journal of Human-Computer Studies - Special issue: the role of cognitive science in human-computer interaction
The GOMS family of user interface analysis techniques: comparison and contrast
ACM Transactions on Computer-Human Interaction (TOCHI)
ACM Transactions on Computer-Human Interaction (TOCHI)
Extending goms to human error and applying it to error-tolerant design
Extending goms to human error and applying it to error-tolerant design
Predicting postcompletion errors using eye movements
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Electronic voting machines versus traditional methods: improved preference, similar performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Where no interface has gone before: what can the phaser teach us about label usage in hci?
CHI '08 Extended Abstracts on Human Factors in Computing Systems
The roles of conceptual device models and user goals in avoiding device initialization errors
Interacting with Computers
Snookered by an interruption?: use a cue
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
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Postcompletion errors, which are omissions of actions required after the completion of a task's main goal, occur in a variety of everyday procedural tasks. Previous research has demonstrated the difficulty of reducing their frequency by means other than redesigning the task structure [Byrne, M.D., Davis, E.M., 2006. Task structure and postcompletion error in the execution of a routine procedure. Human Factors 48, 627-638]. Nevertheless, finding a successful strategy for mitigation of this type of error may uncover important mechanisms underlying interactive behavior. Two experiments were carried out to test visual cues for their ability to reduce the frequency of postcompletion errors in a computer-based routine procedural task. A cue that was visually salient, just-in-time, and meaningful entirely eliminated the error, whereas cues that were not as specific were ineffective. These results are beyond the predictive capability of extant error identification methods and common design guidelines but are consistent with the work of Altmann and Trafton [2002. Memory for goals: an activation-based model. Cognitive Science 26, 39-83] and Hollnagel [1993. Human Reliability Analysis, Context and Control. Academic Press, London]. Finally, a computational model developed in ACT-R is presented as a first step towards validation of the major findings from the two experiments.