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Unreliable numbers: error and harm induced by bad design can be reduced by better design

Number entry is a ubiquitous activity and is often performed in safety- and mission-critical procedures, such as healthcare, science, finance, aviation and in many other areas. We show that Monte Carlo methods can quickly and easily compare the reliability of different number entry systems. A surpri...

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Detalles Bibliográficos
Autores principales: Thimbleby, Harold, Oladimeji, Patrick, Cairns, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614478/
https://www.ncbi.nlm.nih.gov/pubmed/26354830
http://dx.doi.org/10.1098/rsif.2015.0685
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author Thimbleby, Harold
Oladimeji, Patrick
Cairns, Paul
author_facet Thimbleby, Harold
Oladimeji, Patrick
Cairns, Paul
author_sort Thimbleby, Harold
collection PubMed
description Number entry is a ubiquitous activity and is often performed in safety- and mission-critical procedures, such as healthcare, science, finance, aviation and in many other areas. We show that Monte Carlo methods can quickly and easily compare the reliability of different number entry systems. A surprising finding is that many common, widely used systems are defective, and induce unnecessary human error. We show that Monte Carlo methods enable designers to explore the implications of normal and unexpected operator behaviour, and to design systems to be more resilient to use error. We demonstrate novel designs with improved resilience, implying that the common problems identified and the errors they induce are avoidable.
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spelling pubmed-46144782015-11-02 Unreliable numbers: error and harm induced by bad design can be reduced by better design Thimbleby, Harold Oladimeji, Patrick Cairns, Paul J R Soc Interface Research Articles Number entry is a ubiquitous activity and is often performed in safety- and mission-critical procedures, such as healthcare, science, finance, aviation and in many other areas. We show that Monte Carlo methods can quickly and easily compare the reliability of different number entry systems. A surprising finding is that many common, widely used systems are defective, and induce unnecessary human error. We show that Monte Carlo methods enable designers to explore the implications of normal and unexpected operator behaviour, and to design systems to be more resilient to use error. We demonstrate novel designs with improved resilience, implying that the common problems identified and the errors they induce are avoidable. The Royal Society 2015-09-06 /pmc/articles/PMC4614478/ /pubmed/26354830 http://dx.doi.org/10.1098/rsif.2015.0685 Text en © 2015 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research Articles
Thimbleby, Harold
Oladimeji, Patrick
Cairns, Paul
Unreliable numbers: error and harm induced by bad design can be reduced by better design
title Unreliable numbers: error and harm induced by bad design can be reduced by better design
title_full Unreliable numbers: error and harm induced by bad design can be reduced by better design
title_fullStr Unreliable numbers: error and harm induced by bad design can be reduced by better design
title_full_unstemmed Unreliable numbers: error and harm induced by bad design can be reduced by better design
title_short Unreliable numbers: error and harm induced by bad design can be reduced by better design
title_sort unreliable numbers: error and harm induced by bad design can be reduced by better design
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614478/
https://www.ncbi.nlm.nih.gov/pubmed/26354830
http://dx.doi.org/10.1098/rsif.2015.0685
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