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dc.contributor.authorPalin, K
dc.contributor.authorFeit, AM
dc.contributor.authorKim, S
dc.contributor.authorKristensson, PO
dc.contributor.authorOulasvirta, A
dc.date.accessioned2020-02-12T15:17:37Z
dc.date.available2020-02-12T15:17:37Z
dc.date.issued2019
dc.identifier.isbn9781450368254
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/302037
dc.description.abstract© 2019 Association for Computing Machinery. This paper presents a large-scale dataset on mobile text entry collected via a web-based transcription task performed by 37,370 volunteers. The average typing speed was 36.2 WPM with 2.3% uncorrected errors. The scale of the data enables powerful statistical analyses on the correlation between typing performance and various factors, such as demographics, finger usage, and use of intelligent text entry techniques. We report effects of age and finger usage on performance that correspond to previous studies. We also find evidence of relationships between performance and use of intelligent text entry techniques: auto-correct usage correlates positively with entry rates, whereas word prediction usage has a negative correlation. To aid further work on modeling, machine learning and design improvements in mobile text entry, we make the code and dataset openly available.
dc.publisherACM
dc.titleHow do people type on mobile devices? Observations from a study with 37,000 volunteers
dc.typeConference Object
prism.publicationDate2019
prism.publicationNameProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019
dc.identifier.doi10.17863/CAM.49112
dcterms.dateAccepted2019-06-07
rioxxterms.versionofrecord10.1145/3338286.3340120
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-10-01
dc.contributor.orcidKristensson, Per Ola [0000-0002-7139-871X]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R004471/1)
cam.issuedOnline2019-10
pubs.conference-nameMobileHCI '19: 21st International Conference on Human-Computer Interaction with Mobile Devices and Services


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