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Text entry using a speech-based cell phone was less detrimental to driving performance than handheld text entry.
We show how such keyboards can be optimally designed to maximize text entry speed while simultaneously controlling the entry error rate.
For a given text corpus and allowable average entry error proportion, the method identifies the cursor duration and character layout that minimizes average entry time.
We compared three objective measures of the novice participants performance between the two interfaces: text-entry rate, error rate, and click load (clicks per character).
A user of a switch keyboard wants to identify the best possible keyboard design for the type of text entry they will use, and for an acceptable error rate.
According to the feedback obtained in training sessions, we compared the ease of use of the four controls and found text entry fields to be least efficient and most error prone.
Editing of text and page design to facilitate usability and construction of feedback loops in the computer program will minimize chances for false negatives caused by misinterpretation of text, failure to read text carefully and data entry errors.
We measured a significant improvement in text entry speed, reduction in input effort and reduction in input error rate.
These errors have been found to increase users' text entry time by as high as 65%and35%5%, respectively.
It's not as polished as the iPhone, but text entry is significantly faster than previous Android phones, with less errors.
Traditional mobile phones depend on MultiTap, virtual or physical QWERTY keyboard for text entry, and they had some respective drawbacks include low input performance, occupying too large an area, high error rates, lack of feedbacks, etc.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com