The human factors of computer graphics interaction techniques
IEEE Computer Graphics and Applications
The role of visual and kinesthetic feedback in the prevention of mode errors
INTERACT '90 Proceedings of the IFIP TC13 Third Interational Conference on Human-Computer Interaction
A three-state model of graphical input
INTERACT '90 Proceedings of the IFIP TC13 Third Interational Conference on Human-Computer Interaction
Precise selection techniques for multi-touch screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Shift: a technique for operating pen-based interfaces using touch
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A novel taxonomy for gestural interaction techniques based on accelerometers
Proceedings of the 16th international conference on Intelligent user interfaces
User-defined motion gestures for mobile interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sensor synaesthesia: touch in motion, and motion in touch
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mobile pointing task in the physical world: balancing focus and performance while disambiguating
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
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When compared to conventional desktop mouse input, touch input on handheld devices suffers from the lack of a main feature: that of a mouseover state that can provide users with dynamic pro-active information. In addition, with touch screens, selection precision is limited by undesired extra finger tracking during finger press and lift movements. We propose TouchOver, a multi-modal input technique for touch-screen accelerometers-enabled handheld devices where positioning is performed with a finger on the touch surface, while selection is triggered by a gentle "tilt forward" of the device. By doing so, TouchOver adds a mouseover-like state and improves selection precision while remaining compatible with existing interaction techniques such as Shift [10] devised to improve precision. Our formal user study shows a significant precision improvement over two other selection techniques as well as a good tradeoff between speed and accuracy.