The Influence of Eye Gaze Interaction Technique Expertise and the Guided Evaluation Method on Text Entry Performance Evaluations

dc.authorscopusid 57192664326
dc.authorscopusid 57193638803
dc.authorscopusid 57998150900
dc.authorscopusid 55902405400
dc.contributor.author Mutasim, A.K.
dc.contributor.author Batmaz, A.U.
dc.contributor.author Hudhud Mughrabi, M.
dc.contributor.author Stuerzlinger, W.
dc.date.accessioned 2025-06-15T21:49:00Z
dc.date.available 2025-06-15T21:49:00Z
dc.date.issued 2025
dc.department Kadir Has University en_US
dc.department-temp [Mutasim A.K.] School of Interactive Arts + Technology (SIAT), Simon Fraser University, Vancouver, Canada; [Batmaz A.U.] Computer Science and Software Engineering Department, Concordia University, Montreal, Canada; [Hudhud Mughrabi M.] Mechatronics Engineering Department, Kadir Has University, Istanbul, Turkey; [Stuerzlinger W.] School of Interactive Arts + Technology (SIAT), Simon Fraser University, Vancouver, Canada en_US
dc.description.abstract Any investigation of learning unfamiliar text entry systems is affected by the need to train participants on multiple new components simultaneously, such as novel interaction techniques and layouts. The Guided Evaluation Method (GEM) addresses this challenge by bypassing the need to learn layout-specific skills for text entry. However, a gap remains as the GEM's performance has not been assessed in situations where users are unfamiliar with the interaction technique involved, here eye-gaze-based dwell. To address this, we trained participants on only the eye-gaze-based interaction technique over eight days with QWERTY and then evaluated their performance on the OPTI layout with the GEM. Results showed that the unfamiliar OPTI layout outperformed QWERTY, with QWERTY's speed aligning with previous findings, suggesting that interaction technique expertise significantly impacts performance outcomes. Importantly, we also identified that for scenarios where the familiarity with the involved interaction technique(s) is the same, the GEM analyzes the performance of keyboard layouts effectively and quickly identifies the best option. © 2025 ACM. en_US
dc.identifier.doi 10.1145/3725842
dc.identifier.issn 2573-0142
dc.identifier.issue 3 en_US
dc.identifier.scopus 2-s2.0-105006737127
dc.identifier.scopusquality Q2
dc.identifier.uri https://doi.org/10.1145/3725842
dc.identifier.uri https://hdl.handle.net/20.500.12469/7371
dc.identifier.volume 9 en_US
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartof Proceedings of the ACM on Human-Computer Interaction en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Dwell en_US
dc.subject Eye Tracking en_US
dc.subject Opti en_US
dc.subject Qwerty en_US
dc.subject Soft Keyboards en_US
dc.subject Text Entry en_US
dc.subject Virtual Reality en_US
dc.title The Influence of Eye Gaze Interaction Technique Expertise and the Guided Evaluation Method on Text Entry Performance Evaluations en_US
dc.type Article en_US
dspace.entity.type Publication

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