SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
The “prince” technique: Fitts' law and selection using area cursors
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Physical versus virtual pointing
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
Semantic pointing: improving target acquisition with control-display ratio adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Object pointing: a complement to bitmap pointing in GUIs
GI '04 Proceedings of the 2004 Graphics Interface Conference
The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive interaction using the delphian desktop
Proceedings of the 18th annual ACM symposium on User interface software and technology
Fitts' law and expanding targets: Experimental studies and designs for user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Ninja cursors: using multiple cursors to assist target acquisition on large screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Analyzing the kinematics of bivariate pointing
GI '08 Proceedings of graphics interface 2008
Automatically detecting pointing performance
Proceedings of the 13th international conference on Intelligent user interfaces
DynaSpot: speed-dependent area cursor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Speeding pointing in tiled widgets: understanding the effects of target expansion and misprediction
Proceedings of the 15th international conference on Intelligent user interfaces
Pointassist for older adults: analyzing sub-movement characteristics to aid in pointing tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The satellite cursor: achieving MAGIC pointing without gaze tracking using multiple cursors
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
The effects of intended use on target acquisition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TouchCuts and TouchZoom: enhanced target selection for touch displays using finger proximity sensing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
23rd French Speaking Conference on Human-Computer Interaction
Probabilistic pointing target prediction via inverse optimal control
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Cursor navigation using haptics for motion-impaired computer users
EuroHaptics'12 Proceedings of the 2012 international conference on Haptics: perception, devices, mobility, and communication - Volume Part I
Examining the costs of multiple trajectory pointing techniques
International Journal of Human-Computer Studies
User target intention recognition from cursor position using kalman filter
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
Towards a model for predicting intention in 3D moving-target selection tasks
EPCE'13 Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: understanding human cognition - Volume Part I
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Recently proposed novel interaction techniques such as cursor jumping [1] and target expansion for tiled arrangements [13] are predicated on an ability to effectively estimate the endpoint of an input gesture prior to its completion. However, current endpoint estimation techniques lack the precision to make these interaction techniques possible. To address a recognized lack of effective endpoint prediction mechanisms, we propose a new technique for endpoint prediction that applies established laws of motion kinematics in a novel way to the identification of motion endpoint. The technique derives a model of speed over distance that permits extrapolation. We verify our model experimentally using stylus targeting tasks, and demonstrate that our endpoint prediction is almost twice as accurate as the previously tested technique [13] at points more than twice as distant from motion endpoint.