Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?

dc.authorscopusid57192664326
dc.authorscopusid57193638803
dc.authorscopusid57998150900
dc.authorscopusid55902405400
dc.contributor.authorMutasim, A.K.
dc.contributor.authorBatmaz, A.U.
dc.contributor.authorHudhud Mughrabi, M.
dc.contributor.authorStuerzlinger, W.
dc.date.accessioned2023-10-19T15:05:33Z
dc.date.available2023-10-19T15:05:33Z
dc.date.issued2023
dc.department-tempMutasim, A.K., School of Interactive Arts & Technology (SIAT), Simon Fraser University, Vancouver, BC, Canada; Batmaz, A.U., Computer Science & Software Engineering Department, Concordia University, Montreal, QC, Canada; Hudhud Mughrabi, M., Mechatronics Engineering Department, Kadir Has University, Istanbul, Turkey; Stuerzlinger, W., School of Interactive Arts & Technology (SIAT), Simon Fraser University, Vancouver, BC, Canadaen_US
dc.descriptionACM SIGCHI;Apple;Bloomberg;Google;NSF;SIEMENSen_US
dc.description2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 --23 April 2023 through 28 April 2023 -- --188037en_US
dc.description.abstractTo identify if novel/unfamiliar keyboard layouts like OPTI can outperform QWERTY, lengthy training through longitudinal studies is typically required. To reduce this logistical bottleneck, a popular approach in the literature requires participants to type the same phrase repeatedly. However, it is still unknown whether this approach provides a good estimate of expert performance. To validate this method, we set up a study where participants were tasked with typing the same phrase 96 times for both OPTI and QWERTY. Results showed that this approach has the potential to estimate expert performance for novel/unfamiliar keyboards faster than the traditional approach with different phrases. Yet, we also found that accurate estimates still require training over several days and, therefore, do not eliminate the need for a longitudinal study. Our findings thus show the need for research on faster, easier, and more reliable empirical approaches to evaluate text entry systems. © 2023 Owner/Author.en_US
dc.identifier.citation1
dc.identifier.doi10.1145/3544549.3585647en_US
dc.identifier.isbn9781450394222
dc.identifier.scopus2-s2.0-85158142414en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1145/3544549.3585647
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4947
dc.identifier.wosqualityN/A
dc.institutionauthorBatmaz, Anıl Ufuk
dc.khas20231019-Scopusen_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.ispartofConference on Human Factors in Computing Systems - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOPTIen_US
dc.subjectQWERTYen_US
dc.subjectSoft Keyboardsen_US
dc.subjectTap Typingen_US
dc.subjectText Entryen_US
dc.subjectTouch Typingen_US
dc.subjectExpert performanceen_US
dc.subjectKeyboard layouten_US
dc.subjectLongitudinal studyen_US
dc.subjectOPTIen_US
dc.subjectPerformanceen_US
dc.subjectQWERTYen_US
dc.subjectSoft keyboarden_US
dc.subjectTap typingen_US
dc.subjectText entryen_US
dc.subjectTouch typingen_US
dc.subjectTapsen_US
dc.titleDoes Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?en_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb12eff7e-174d-4ce0-839b-71d7ea11e4f5
relation.isAuthorOfPublication.latestForDiscoveryb12eff7e-174d-4ce0-839b-71d7ea11e4f5

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