Multi-stage gaze-controlled virtual keyboard using eye tracking.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 12 03 2024
accepted: 19 08 2024
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: epublish

Résumé

This study presents a novel multi-stage hierarchical approach to optimize key selection on virtual keyboards using eye gaze. Existing single-stage selection algorithms have difficulty with distant keys on large interfaces. The proposed technique divides the standard QWERTY keyboard into progressively smaller regions guided by eye movements, with boundary fixations first selecting halves and quarters to sequentially narrow the search area. Within each region, keys are highlighted one by one for selection. An experiment compared the multi-stage approach to single-step techniques, having participants copy text using eye gaze alone under both conditions. Metrics on selection speed, words per minute, and usability ratings were significantly improved with the hierarchical technique. Half and quarter selection times decreased over 30% on average while maintaining accuracy, with overall task completion 20% faster. Users also rated the multi-stage approach as more comfortable and easier to use. The multi-level refinement of the selection area optimized interaction efficiency for gaze-based text entry.

Identifiants

pubmed: 39466739
doi: 10.1371/journal.pone.0309832
pii: PONE-D-24-08414
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0309832

Informations de copyright

Copyright: © 2024 Emile Tatinyuy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Verdzekov Emile Tatinyuy (V)

Applied Computer Science, University of Douala, Douala, Cameroon.

Auguste Vigny Noumsi Woguia (AV)

Department of Applied Computer Science, University of Douala, Douala, Cameroon.

Joseph Mvogo Ngono (JM)

Department of Applied Computer Science, University of Douala, Douala, Cameroon.

Louis Aimé Fono (LA)

Department of Mathematics and Computer Science, University of Douala, Douala, Cameroon.

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Classifications MeSH