Statistical Decoding Revisited

<div>Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptive-shape curved keyboard performs best among all the studied keyboards; (ii) users' familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptive curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.</div>

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Statistical Decoding of Codes over $\mathbb{F}_q$

Post-Quantum Cryptography - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25405-5_14 ◽

2011 ◽

pp. 217-227 ◽

Cited By ~ 1

Author(s):

Robert Niebuhr

Keyword(s):

Statistical Decoding

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A statistical decoding of simultaneous burst and random errors beyond the BCH bound using reed-solomon codes

Electronics and Communications in Japan (Part III Fundamental Electronic Science) ◽

10.1002/ecjc.4430790607 ◽

1996 ◽

Vol 79 (6) ◽

pp. 70-81

Author(s):

Toshio Horiguchi

Keyword(s):

Random Errors ◽

Reed Solomon Codes ◽

Bch Bound ◽

Statistical Decoding

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A Comparative Study on Single-handed Keyboards on Large-screen Mobile Devices

10.36227/techrxiv.14912469.v1 ◽

2021 ◽

Author(s):

kunpeng zhang ◽

Zhigang Deng

Keyword(s):

Comparative Study ◽

Learning Curve ◽

Mobile Devices ◽

Significant Role ◽

Language Models ◽

Text Entry ◽

Decoding Algorithms ◽

Large Screen ◽

Input Noise ◽

Statistical Decoding

<div>Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptive-shape curved keyboard performs best among all the studied keyboards; (ii) users' familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptive curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.</div>

Download Full-text