Extending Fitts' law to two-dimensional tasks
CHI '92 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
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Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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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
Unsupervised Analysis of Human Gestures
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Object pointing: a complement to bitmap pointing in GUIs
GI '04 Proceedings of the 2004 Graphics Interface Conference
Analyzing and predicting focus of attention in remote collaborative tasks
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Predictive interaction using the delphian desktop
Proceedings of the 18th annual ACM symposium on User interface software and technology
A probabilistic approach to modeling two-dimensional pointing
ACM Transactions on Computer-Human Interaction (TOCHI)
Fitts' law and expanding targets: Experimental studies and designs for user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Modeling pointing at targets of arbitrary shapes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Endpoint prediction using motion kinematics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling human performance of pen stroke gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sloppy selection: Providing an accurate interpretation of imprecise selection gestures
Computers and Graphics
Combining geometry and domain knowledge to interpret hand-drawn diagrams
Computers and Graphics
The effects of intended use on target acquisition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Despite the importance of pointing-device movement to efficiency in interfaces, little is known on how target shape impacts speed, acceleration, and other kinematic properties of motion. In this paper, we examine which kinematic characteristics of motion are impacted by amplitude and directional target constraints in Fitts-style pointing tasks. Our results show that instantaneous speed, acceleration, and jerk are most affected by target constraint. Results also show that the effects of target constraint are concentrated in the first 70% of movement distance. We demonstrate that we can discriminate between the two classes of target constraint using Machine Learning with accuracy greater than chance. Finally, we highlight future work in designing techniques that make use of target constraint to improve pointing efficiency in computer interfaces.