Speech pen: predictive handwriting based on ambient multimodal recognition

  title={Speech pen: predictive handwriting based on ambient multimodal recognition},
  author={Kazutaka Kurihara and Masataka Goto and Jun Ogata and Takeo Igarashi},
It is tedious to handwrite long passages of text by hand. To make this process more efficient, we propose predictive handwriting that provides input predictions when the user writes by hand. A predictive handwriting system presents possible next words as a list and allows the user to select one to skip manual writing. Since it is not clear if people are willing to use prediction, we first run a user study to compare handwriting and selecting from the list. The result shows that, in Japanese… CONTINUE READING
Highly Cited
This paper has 45 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 26 extracted citations

Investigating Human Performance in Hand-Drawn Symbol Autocompletion

2013 IEEE International Conference on Systems, Man, and Cybernetics • 2013
View 2 Excerpts


Publications referenced by this paper.
Showing 1-4 of 4 references

The Audio Notebook

Proc. CHI’01, • 2001
View 5 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…