FingerSense
Augmenting Expressiveness of Physical Button by Fingertip Identification
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Tapping physical buttons is one of the most frequent tasks in computer-human interaction.
Despite the existance of alternative input modalities such as speech and handwriting,
button-based interfaces, especially the keyboard, are still the most widely used input device.
The emergence of handheld, cell phone and other forms of mobile computing devices, however, present unique challenges to traditional button interfaces - due to the size of human fingers and the corresponding motor control accuracy, buttons can not be made too small. It becomes increasingly difficult to fit a full QWERTY keyboard into the ever smaller mobile devices. In this project, we propose an alternative method, FingerSense, to improve the expressiveness of pushing buttons without the cost of minimizing the button size or adding additional key strokes. In a FingerSense enabled input device, a pressing action is differentiated according to the finger involved. We modeled the human performance of FingerSense interfaces and derived related parameters from a preliminary usability study. |
 Multiplexing tapping action by using different fingers |
Publications
- Jingtao Wang, John Canny, FingerSense - Augmenting Expressiveness of Physical Button by Fingertip Identification, Short Paper in CHI 2004, ACM Conference on Human Factors in Computing Systems, Vienna, Austria, April 24-29, 2004. PDF (108k)