The Guided Evaluation Method: an Easier Way To Empirically Estimate Trained User Performance for Unfamiliar Keyboard Layouts
| dc.contributor.author | Mutasim, Aunnoy K. | |
| dc.contributor.author | Batmaz, Anil Ufuk | |
| dc.contributor.author | Mughrabi, Moaaz Hudhud | |
| dc.contributor.author | Stuerzlinger, Wolfgang | |
| dc.date.accessioned | 2024-10-15T19:41:08Z | |
| dc.date.available | 2024-10-15T19:41:08Z | |
| dc.date.issued | 2024 | |
| dc.description | Mutasim, Aunnoy K/0000-0002-5321-7292; BATMAZ, ANIL UFUK/0000-0001-7948-8093 | en_US |
| dc.description.abstract | To determine in a user study whether proposed keyboard layouts, such as OPTI, can surpass QWERTY in performance, extended training through longitudinal studies is crucial. However, addressing the challenge of creating trained users presents a logistical bottleneck. A common alternative involves having participants type the same word or phrase repeatedly. We conducted two separate studies to investigate this alternative. The findings reveal that both approaches, repeatedly typing words or phrases, have limitations in accurately estimating trained user performance. Thus, we propose the Guided Evaluation Method (GEM), a novel approach to quickly estimate trained user performance with novices. Our results reveal that in a matter of minutes, participants exhibited performance similar to an existing longitudinal study - OPTI outperforms QWERTY. As it eliminates the need for resource-intensive longitudinal studies, our new GEM thus enables much faster estimation of trained user performance. This outcome will potentially reignite research on better text entry methods. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1016/j.ijhcs.2024.103317 | |
| dc.identifier.issn | 1071-5819 | |
| dc.identifier.issn | 1095-9300 | |
| dc.identifier.scopus | 2-s2.0-85196707287 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ijhcs.2024.103317 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/6411 | |
| dc.language.iso | en | en_US |
| dc.publisher | Academic Press Ltd- Elsevier Science Ltd | en_US |
| dc.relation.ispartof | International Journal of Human-Computer Studies | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Text entry | en_US |
| dc.subject | Touch typing | en_US |
| dc.subject | OPTI | en_US |
| dc.subject | QWERTY | en_US |
| dc.subject | GEM | en_US |
| dc.subject | Soft keyboards | en_US |
| dc.title | The Guided Evaluation Method: an Easier Way To Empirically Estimate Trained User Performance for Unfamiliar Keyboard Layouts | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Mutasim, Aunnoy K/0000-0002-5321-7292 | |
| gdc.author.id | BATMAZ, ANIL UFUK/0000-0001-7948-8093 | |
| gdc.author.institutional | Batmaz, Anıl Ufuk | |
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| gdc.author.wosid | Batmaz, Anil Ufuk/ABE-7803-2021 | |
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| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | [Mutasim, Aunnoy K.; Stuerzlinger, Wolfgang] Simon Fraser Univ, Sch Interact Arts & Technol SIAT, Vancouver, BC, Canada; [Batmaz, Anil Ufuk] Concordia Univ, Comp Sci & Software Engn Dept, Montreal, PQ, Canada; [Mughrabi, Moaaz Hudhud] Kadir Has Univ, Mechatron Engn Dept, Istanbul, Turkiye | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 103317 | |
| gdc.description.volume | 190 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded - Social Science Citation Index | |
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