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A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards

Thumb interaction is a primary technique used to operate small handheld devices such as smartphones. Despite the different techniques involved in operating a handheld device compared to a personal computer, the keyboard layouts for both devices are similar. A handheld device keyboard that considers...

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Detalles Bibliográficos
Autores principales: Trudeau, Matthieu B., Sunderland, Elsie M., Jindrich, Devin L., Dennerlein, Jack T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4161376/
https://www.ncbi.nlm.nih.gov/pubmed/25211465
http://dx.doi.org/10.1371/journal.pone.0107070
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author Trudeau, Matthieu B.
Sunderland, Elsie M.
Jindrich, Devin L.
Dennerlein, Jack T.
author_facet Trudeau, Matthieu B.
Sunderland, Elsie M.
Jindrich, Devin L.
Dennerlein, Jack T.
author_sort Trudeau, Matthieu B.
collection PubMed
description Thumb interaction is a primary technique used to operate small handheld devices such as smartphones. Despite the different techniques involved in operating a handheld device compared to a personal computer, the keyboard layouts for both devices are similar. A handheld device keyboard that considers the physical capabilities of the thumb may improve user experience. We developed and applied a design evaluation tool for different geometries of the QWERTY keyboard using a performance evaluation model. The model utilizes previously collected data on thumb motor performance and posture for different tap locations and thumb movement directions. We calculated a performance index (PI(TOT), 0 is worst and 2 is best) for 663 designs consisting in different combinations of three variables: the keyboard's radius of curvature (R) (mm), orientation (O) (°), and vertical location on the screen (L). The current standard keyboard performed poorly (PI(TOT) = 0.28) compared to other designs considered. Keyboard location (L) contributed to the greatest variability in performance out of the three design variables, suggesting that designers should modify this variable first. Performance was greatest for designs in the middle keyboard location. In addition, having a slightly upward curve (R = −20 mm) and orientated perpendicular to the thumb's long axis (O = −20°) improved performance to PI(TOT) = 1.97. Poorest performances were associated with placement of the keyboard's spacebar in the bottom right corner of the screen (e.g., the worst was for R = 20 mm, O = 40°, L =  Bottom (PI(TOT) = 0.09)). While this evaluation tool can be used in the design process as an ergonomic reference to promote user motor performance, other design variables such as visual access and usability still remain unexplored.
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spelling pubmed-41613762014-09-17 A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards Trudeau, Matthieu B. Sunderland, Elsie M. Jindrich, Devin L. Dennerlein, Jack T. PLoS One Research Article Thumb interaction is a primary technique used to operate small handheld devices such as smartphones. Despite the different techniques involved in operating a handheld device compared to a personal computer, the keyboard layouts for both devices are similar. A handheld device keyboard that considers the physical capabilities of the thumb may improve user experience. We developed and applied a design evaluation tool for different geometries of the QWERTY keyboard using a performance evaluation model. The model utilizes previously collected data on thumb motor performance and posture for different tap locations and thumb movement directions. We calculated a performance index (PI(TOT), 0 is worst and 2 is best) for 663 designs consisting in different combinations of three variables: the keyboard's radius of curvature (R) (mm), orientation (O) (°), and vertical location on the screen (L). The current standard keyboard performed poorly (PI(TOT) = 0.28) compared to other designs considered. Keyboard location (L) contributed to the greatest variability in performance out of the three design variables, suggesting that designers should modify this variable first. Performance was greatest for designs in the middle keyboard location. In addition, having a slightly upward curve (R = −20 mm) and orientated perpendicular to the thumb's long axis (O = −20°) improved performance to PI(TOT) = 1.97. Poorest performances were associated with placement of the keyboard's spacebar in the bottom right corner of the screen (e.g., the worst was for R = 20 mm, O = 40°, L =  Bottom (PI(TOT) = 0.09)). While this evaluation tool can be used in the design process as an ergonomic reference to promote user motor performance, other design variables such as visual access and usability still remain unexplored. Public Library of Science 2014-09-11 /pmc/articles/PMC4161376/ /pubmed/25211465 http://dx.doi.org/10.1371/journal.pone.0107070 Text en © 2014 Trudeau et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Trudeau, Matthieu B.
Sunderland, Elsie M.
Jindrich, Devin L.
Dennerlein, Jack T.
A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title_full A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title_fullStr A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title_full_unstemmed A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title_short A Data-Driven Design Evaluation Tool for Handheld Device Soft Keyboards
title_sort data-driven design evaluation tool for handheld device soft keyboards
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4161376/
https://www.ncbi.nlm.nih.gov/pubmed/25211465
http://dx.doi.org/10.1371/journal.pone.0107070
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