Using analytic network process for evaluating mobile text entry methods

This paper highlights a preference evaluation methodology for text entry methods in a touch keyboard smartphone using analytic network process (ANP). Evaluation of text entry methods in literature mainly considers speed and accuracy. This study presents an alternative means for selecting text entry...

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Main Authors: Ocampo, Lanndon A., Seva, Rosemary R.
Format: text
Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1686
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2685/type/native/viewcontent
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-26852021-07-14T07:54:57Z Using analytic network process for evaluating mobile text entry methods Ocampo, Lanndon A. Seva, Rosemary R. This paper highlights a preference evaluation methodology for text entry methods in a touch keyboard smartphone using analytic network process (ANP). Evaluation of text entry methods in literature mainly considers speed and accuracy. This study presents an alternative means for selecting text entry method that considers user preference. A case study was carried out with a group of experts who were asked to develop a selection decision model of five text entry methods. The decision problem is flexible enough to reflect interdependencies of decision elements that are necessary in describing real-life conditions. Results showed that QWERTY method is more preferred than other text entry methods while arrangement of keys is the most preferred criterion in characterizing a sound method. Sensitivity analysis using simulation of normally distributed random numbers under fairly large perturbation reported the foregoing results reliable enough to reflect robust judgment. The main contribution of this paper is the introduction of a multi-criteria decision approach in the preference evaluation of text entry methods. © 2015 Elsevier Ltd and The Ergonomics Society. 2016-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1686 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2685/type/native/viewcontent Faculty Research Work Animo Repository Text messaging (Cell phone systems) Keyboards (Electronics) Cell phones Multiple criteria decision making Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Text messaging (Cell phone systems)
Keyboards (Electronics)
Cell phones
Multiple criteria decision making
Industrial Engineering
spellingShingle Text messaging (Cell phone systems)
Keyboards (Electronics)
Cell phones
Multiple criteria decision making
Industrial Engineering
Ocampo, Lanndon A.
Seva, Rosemary R.
Using analytic network process for evaluating mobile text entry methods
description This paper highlights a preference evaluation methodology for text entry methods in a touch keyboard smartphone using analytic network process (ANP). Evaluation of text entry methods in literature mainly considers speed and accuracy. This study presents an alternative means for selecting text entry method that considers user preference. A case study was carried out with a group of experts who were asked to develop a selection decision model of five text entry methods. The decision problem is flexible enough to reflect interdependencies of decision elements that are necessary in describing real-life conditions. Results showed that QWERTY method is more preferred than other text entry methods while arrangement of keys is the most preferred criterion in characterizing a sound method. Sensitivity analysis using simulation of normally distributed random numbers under fairly large perturbation reported the foregoing results reliable enough to reflect robust judgment. The main contribution of this paper is the introduction of a multi-criteria decision approach in the preference evaluation of text entry methods. © 2015 Elsevier Ltd and The Ergonomics Society.
format text
author Ocampo, Lanndon A.
Seva, Rosemary R.
author_facet Ocampo, Lanndon A.
Seva, Rosemary R.
author_sort Ocampo, Lanndon A.
title Using analytic network process for evaluating mobile text entry methods
title_short Using analytic network process for evaluating mobile text entry methods
title_full Using analytic network process for evaluating mobile text entry methods
title_fullStr Using analytic network process for evaluating mobile text entry methods
title_full_unstemmed Using analytic network process for evaluating mobile text entry methods
title_sort using analytic network process for evaluating mobile text entry methods
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/1686
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2685/type/native/viewcontent
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