The design and evaluation of a high-performance soft keyboard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Testing pointing device performance and user assessment with the ISO 9241, Part 9 standard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The metropolis keyboard - an exploration of quantitative techniques for virtual keyboard design
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Biasing response in Fitts' Law tasks
CHI '06 Extended Abstracts on Human Factors in Computing Systems
An error model for pointing based on Fitts' law
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fitts' throughput and the speed-accuracy tradeoff
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fitts' law as a research and design tool in human-computer interaction
Human-Computer Interaction
An informatic rationale for the speed-accuracy trade-off
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Predicting the cost of error correction in character-based text entry technologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fitt's law as an explicit time/error trade-off
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling and predicting pointing errors in two dimensions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.01 |
One of the fundamental operations in today's user interfaces is pointing to targets, such as menus, buttons, and text. Making an error when selecting those targets in real-life user interfaces often results in some cost to the user. However, the existing target-directed pointing models do not consider the cost of error when predicting task completion time. In this paper, we present a model based on expected value theory that predicts the impact of the error cost on the user's completion time for target-directed pointing tasks. We then present a target-directed pointing user study, which results show that time-based costs of error significantly impact the user's performance. Our results also show that users perform according to an expected completion time utility function and that optimal performance computed using our model gives good prediction of the observed task completion times.