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VelociTap : investigating fast mobile text entry using sentence-based decoding of touchscreen keyboard input
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dc.contributor.author | Vertanen, Keith | |
dc.contributor.author | Memmi, Haythem | |
dc.contributor.author | Emge, Justin | |
dc.contributor.author | Reyal, Shyam Mehraaj | |
dc.contributor.author | Kristensson, Per Ola | |
dc.date.accessioned | 2015-06-30T16:10:01Z | |
dc.date.available | 2015-06-30T16:10:01Z | |
dc.date.issued | 2015-04-18 | |
dc.identifier.citation | Vertanen , K , Memmi , H , Emge , J , Reyal , S M & Kristensson , P O 2015 , VelociTap : investigating fast mobile text entry using sentence-based decoding of touchscreen keyboard input . in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems . ACM , New York , pp. 659-668 , The 33rd Annual CHI Conference on Human Factors in Computing Systems (CHI) , Seoul , Korea, Republic of , 18/04/15 . https://doi.org/10.1145/2702123.2702135 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781450331456 | |
dc.identifier.other | PURE: 190332289 | |
dc.identifier.other | PURE UUID: bc0f4b66-59f9-4242-8000-8c6ff5030e64 | |
dc.identifier.other | Scopus: 84951004741 | |
dc.identifier.other | WOS: 000412395500077 | |
dc.identifier.uri | https://hdl.handle.net/10023/6884 | |
dc.description | Date of Acceptance: 15/12/2014 | en |
dc.description.abstract | We present VelociTap: a state-of-the-art touchscreen keyboard decoder that supports a sentence-based text entry approach. VelociTap enables users to seamlessly choose from three word-delimiter actions: pushing a space key, swiping to the right, or simply omitting the space key and letting the decoder infer spaces automatically. We demonstrate that VelociTap has a significantly lower error rate than Google's keyboard while retaining the same entry rate. We show that intermediate visual feedback does not significantly affect entry or error rates and we find that using the space key results in the most accurate results. We also demonstrate that enabling flexible word-delimiter options does not incur an error rate penalty. Finally, we investigate how small we can make the keyboard when using VelociTap. We show that novice users can reach a mean entry rate of 41 wpm on a 40 mm wide smartwatch-sized keyboard at a 3% character error rate. | |
dc.format.extent | 9 | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.relation.ispartof | CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems | en |
dc.rights | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others thanACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. Copyright c 2015 ACM | en |
dc.subject | Mobile text entry | en |
dc.subject | Touchscreen keyboard | en |
dc.subject | Sentence decoding | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | NDAS | en |
dc.subject.lcc | QA75 | en |
dc.title | VelociTap : investigating fast mobile text entry using sentence-based decoding of touchscreen keyboard input | en |
dc.type | Conference item | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1145/2702123.2702135 |
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