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

dc.authorscopusid 57192664326
dc.authorscopusid 57193638803
dc.authorscopusid 57998150900
dc.authorscopusid 55902405400
dc.contributor.author Batmaz, Anıl Ufuk
dc.contributor.author Batmaz, A.U.
dc.contributor.author Hudhud Mughrabi, M.
dc.contributor.author Stuerzlinger, W.
dc.contributor.other Mechatronics Engineering
dc.date.accessioned 2023-10-19T15:05:33Z
dc.date.available 2023-10-19T15:05:33Z
dc.date.issued 2023
dc.department-temp Mutasim, 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, Canada en_US
dc.description ACM SIGCHI;Apple;Bloomberg;Google;NSF;SIEMENS en_US
dc.description 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 --23 April 2023 through 28 April 2023 -- --188037 en_US
dc.description.abstract To 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.citationcount 1
dc.identifier.doi 10.1145/3544549.3585647 en_US
dc.identifier.isbn 9781450394222
dc.identifier.scopus 2-s2.0-85158142414 en_US
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1145/3544549.3585647
dc.identifier.uri https://hdl.handle.net/20.500.12469/4947
dc.identifier.wosquality N/A
dc.khas 20231019-Scopus en_US
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartof Conference on Human Factors in Computing Systems - Proceedings en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 4
dc.subject OPTI en_US
dc.subject QWERTY en_US
dc.subject Soft Keyboards en_US
dc.subject Tap Typing en_US
dc.subject Text Entry en_US
dc.subject Touch Typing en_US
dc.subject Expert performance en_US
dc.subject Keyboard layout en_US
dc.subject Longitudinal study en_US
dc.subject OPTI en_US
dc.subject Performance en_US
dc.subject QWERTY en_US
dc.subject Soft keyboard en_US
dc.subject Tap typing en_US
dc.subject Text entry en_US
dc.subject Touch typing en_US
dc.subject Taps en_US
dc.title Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance? en_US
dc.type Conference Object en_US
dspace.entity.type Publication
relation.isAuthorOfPublication b12eff7e-174d-4ce0-839b-71d7ea11e4f5
relation.isAuthorOfPublication.latestForDiscovery b12eff7e-174d-4ce0-839b-71d7ea11e4f5
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relation.isOrgUnitOfPublication.latestForDiscovery 01f3d407-6823-4ad3-8298-0b6a2a6e5cff

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