Unified theories of cognition
Fitts' law as a performance model in human-computer interaction
Fitts' law as a performance model in human-computer interaction
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
The “prince” technique: Fitts' law and selection using area cursors
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Beyond Fitts' law: models for trajectory-based HCI tasks
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
The design and evaluation of a high-performance soft keyboard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Manual and gaze input cascaded (MAGIC) pointing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Acquisition of expanding targets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
More than dotting the i's --- foundations for crossing-based interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human on-line response to target expansion
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Refining Fitts' law models for bivariate pointing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Preface: 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
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
Modeling human performance of pen stroke gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating swiftpoint as a mobile device for direct manipulation input
AUIC '07 Proceedings of the eight Australasian conference on User interface - Volume 64
Proceedings of the SIGCHI Conference 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
Peephole pointing: modeling acquisition of dynamically revealed targets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The performance of hand postures in front- and back-of-device interaction for mobile computing
International Journal of Human-Computer Studies
The effect of gender-related difference on human-centred performance using a mass assessment method
International Journal of Computer Applications in Technology
The performance of touch screen soft buttons
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DynaSpot: speed-dependent area cursor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring Methods to Improve Pen-Based Menu Selection for Younger and Older Adults
ACM Transactions on Accessible Computing (TACCESS)
Games for extracting randomness
Proceedings of the 5th Symposium on Usable Privacy and Security
Speed-Accuracy Tradeoff in Trajectory-Based Tasks with Temporal Constraint
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
An on-screen keyboard for users with poor pointer control
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Modeling of human's pointing movement on the effect of target position
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Proceedings of the 2nd Augmented Human International Conference
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effects of motor scale, visual scale, and quantization on small target acquisition difficulty
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Two-Part Models Capture the Impact of Gain on Pointing Performance
ACM Transactions on Computer-Human Interaction (TOCHI)
FittsTilt: the application of Fitts' law to tilt-based interaction
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
FFitts law: modeling finger touch with fitts' law
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effect of time-based cost of error in target-directed pointing tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How fast is fast enough?: a study of the effects of latency in direct-touch pointing tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Design and evaluation of 3D selection techniques based on progressive refinement
International Journal of Human-Computer Studies
Hi-index | 0.00 |
Pointing tasks in human-computer interaction obey certain speed-accuracy tradeoff rules. In general, the more accurate the task to be accomplished, the longer it takes and vice versa. Fitts' law models the speed-accuracy tradeoff effect in pointing as imposed by the task parameters, through Fitts' index of difficulty (Id) based on the ratio of the nominal movement distance and the size of the target. Operating with different speed or accuracy biases, performers may utilize more or less area than the target specifies, introducing another subjective layer of speed-accuracy tradeoff relative to the task specification. A conventional approach to overcome the impact of the subjective layer of speed-accuracy tradeoff is to use the a posteriori "effective" pointing precision We in lieu of the nominal target width W. Such an approach has lacked a theoretical or empirical foundation. This study investigates the nature and the relationship of the two layers of speed-accuracy tradeoff by systematically controlling both Id and the index of target utilization Iu in a set of four experiments. Their results show that the impacts of the two layers of speed-accuracy tradeoff are not fundamentally equivalent. The use of We could indeed compensate for the difference in target utilization, but not completely. More logical Fitts' law parameter estimates can be obtained by the We adjustment, although its use also lowers the correlation between pointing time and the index of difficulty. The study also shows the complex interaction effect between Id and Iu, suggesting that a simple and complete model accommodating both layers of speed-accuracy tradeoff may not exist.