The impact of word, multiple word, and sentence input on virtual keyboard decoding performance
Department of Computer Science, Center for Human-Centered Computing
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.
CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Kristensson, P. O.
The impact of word, multiple word, and sentence input on virtual keyboard decoding performance.
CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1087