VelociTap: Investigating Fast Mobile Text Entry using Sentence-Based Decoding of Touchscreen Keyboard Input

@article{Vertanen2015VelociTapIF,
  title={VelociTap: Investigating Fast Mobile Text Entry using Sentence-Based Decoding of Touchscreen Keyboard Input},
  author={Keith Vertanen and Haythem Memmi and Justin Emge and Shyam Reyal and Per Ola Kristensson},
  journal={Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems},
  year={2015}
}
We present VelociTap: a state-of-the-art touchscreen keyboard decoder that supports a sentence-based text entry approach. VelociTap enables users to seamlessly choose from three word-delimiter actions: pushing a space key, swiping to the right, or simply omitting the space key and letting the decoder infer spaces automatically. We demonstrate that VelociTap has a significantly lower error rate than Google's keyboard while retaining the same entry rate. We show that intermediate visual feedback… 
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