The Impact of Word, Multiple Word, and Sentence Input on Virtual Keyboard Decoding Performance

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The Impact of Word, Multiple Word, and Sentence Input on Virtual Keyboard Decoding Performance

Keith Vertanen, Crystal Fletcher, Dylan Gaines, Jacob Gould, Per Ola Kristensson

CHI '18: Proceedings of the ACM Conference on Human Factors in Computing Systems, to appear.

Entering text on non-desktop computing devices is often done via an onscreen virtual keyboard. Input on such keyboards normally consists of a sequence of noisy tap events that specify some amount of text, most commonly a single word. But is single word-at-a-time entry the best choice? This paper compares user performance and recognition accuracy of word at-a-time, phrase-at-a-time, and sentence-at-a-time text entry on a smartwatch keyboard. We evaluate the impact of differing amounts of input in both text copy and free composition tasks. We found providing input of an entire sentence significantly improved entry rates from 26 wpm to 32 wpm while keeping character error rates below 4%. In offline experiments with more processing power and memory, sentence input was recognized with a much lower 2.0% error rate. Our findings suggest virtual keyboards can enhance performance by encouraging users to provide more input per recognition event.

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