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dc.contributor.author오유란-
dc.date.accessioned2026-11-03T16:30:46Z-
dc.date.available2026-11-03T16:30:46Z-
dc.date.issued2026-
dc.identifier.issn1939-1412-
dc.identifier.issn2329-4051-
dc.identifier.otherOAK-40664-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/276800-
dc.description.abstractAs wearable devices such as smartwatches, bands, and jewelry become more advanced and widespread, it is essential to address the challenges of text entry on their small interaction surfaces. This work introduces ForceKeyboard, a QWERTY soft keyboard for ultra-small devices, which utilizes touch location and force data to improve typing accuracy and speed. In a study involving 26 participants, we compared ForceKeyboard with a Baseline keyboard that uses only tapping location data. The evaluation assessed performance across key sizes of 2.50, 1.75, and 1.00 mm in sitting and walking conditions. Participants performed eyes-free text entry tasks to reflect the occlusion and multitasking challenges of text entry on small wearable devices. Participants who used ForceKeyboard achieved entry rates of 3.92, 3.57, and 2.77 words per minute, outperforming participants who used the baseline keyboard with 21%-168% higher speed and 16%-68% greater accuracy.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.subjectFeeds-
dc.subjectAntennas-
dc.subjectFeedback-
dc.subjectCircuits-
dc.subjectDiodes-
dc.subjectLight emitting diodes-
dc.subjectFlexible printed circuits-
dc.subjectOrganic light emitting diodes-
dc.subjectMobile handsets-
dc.subjectSmart phones-
dc.subjectTouch force-
dc.subjecttext entry-
dc.subjectsoft keyboard-
dc.subjectinteraction technique-
dc.subjectwearable device-
dc.titleForceKeyboard: Eyes-Free Text Entry With a Force Sensitive Soft Keyboard for Wearable Devices-
dc.typeArticle-
dc.relation.issue2-
dc.relation.volume19-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage390-
dc.relation.lastpage401-
dc.relation.journaltitleIEEE TRANSACTIONS ON HAPTICS-
dc.identifier.doi10.1109/TOH.2026.3679725-
dc.identifier.wosidWOS:001801449700022-
dc.author.googleOh, Uran-
dc.author.googleQuero, Luis Cavazos-
dc.author.googleHan, Jiyeon-
dc.contributor.scopusid오유란(55569327700)-
dc.date.modifydate20261103114637-
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인공지능대학 > 컴퓨터공학과 > Journal papers
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