Shorthand writing on stylus keyboard

By Shumin Zhai, Per Ola Kristensson. International Conference on Human Factors in Computing Systems, 2003

317 citations recorded by the source corpus.

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SHARK2: a large vocabulary shorthand writing system for pen-based computers (2004, methodology): “An input system that uses the sokgraph approach was dubbed SHARK - SH orthand A ided R apid K eyboarding [27].”
Lucid touch: a see-through mobile device (2007, background): “Although several soft keyboard designs have been proposed for stylus or single finger input [28, 31, 32], the ability of the LucidTouch to detect multiple points of contact suggests that better performance could be achieved.”
Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes (2007, methodology): “Dynamic programming methods are computationally expensive and sometimes too flexible in matching [ 32 ], and although improvements in speed are possible [24], these improvements put the algorithms well beyond the reach of most UI designers and prototypers.”
Long short term memory neural network for keyboard gesture decoding (2015, methodology): “Conventional methods for gesture typing such as shape matching [4] tend to be highly accurate on clean data, however they suffer heavily when the input gestures are noisy, or when they are segmented into multiple gestures.”
Usable gestures for blind people: understanding preference and performance (2011, methodology): “Methods suggested by only one participant were: tapping out the dots of Braille characters, an on-screen Dvorak keyboard, Graffiti, and ShapeWriter ( a.k.a. SHARK) [30].”