Patterns of entry and correction in large vocabulary continuous speech recognition systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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AVI '00 Proceedings of the working conference on Advanced visual interfaces
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
Grand challenges in text entry
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Complementing text entry evaluations with a composition task
ACM Transactions on Computer-Human Interaction (TOCHI)
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We empirically compare five different publicly-available phrase sets in two large-scale (N = 225 and N = 150) crowdsourced text entry experiments. We also investigate the impact of asking participants to memorize phrases before writing them versus allowing participants to see the phrase during text entry. We find that asking participants to memorize phrases increases entry rates at the cost of slightly increased error rates. This holds for both a familiar and for an unfamiliar text entry method. We find statistically significant differences between some of the phrase sets in terms of both entry and error rates. Based on our data, we arrive at a set of recommendations for choosing suitable phrase sets for text entry evaluations.