Mitchell Gordon
Shumin Zhai
ABSTRACT
We present WatchWriter, a finger operated keyboard that supports both touch and gesture typing with statistical decoding on a smartwatch. Just like on modern smartphones, users type one letter per tap or one word per gesture stroke on WatchWriter but in a much smaller spatial scale. WatchWriter demonstrates that human motor control adaptability, coupled with modern statistical decoding and error correction technologies developed for smartphones, can enable a surprisingly effective typing performance despite the small watch size. In a user performance experiment entirely run on a smartwatch, 36 participants reached a speed of 22-24 WPM with near zero error rate.
Supplemental Material
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Cross Ref
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- Shyam Reyal, Shumin Zhai, and Per Ola Kristensson. 2015. Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 679--688. DOI: http://dx.doi.org/10.1145/2702123.2702597 Google ScholarDigital Library
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- Keith Vertanen, Haythem Memmi, Justin Emge, Shyam Reyal, and Per Ola Kristensson. 2015. VelociTap: Investigating Fast Mobile Text Entry Using Sentence-Based Decoding of Touchscreen Keyboard Input. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 659--668. DOI: http://dx.doi.org/10.1145/2702123.2702135 Google ScholarDigital Library
Index Terms
- WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding
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