Cognitive analyses of mental workload and human error identification for the improvement of user experience

People can sometimes feel overwhelmed when trying to interact with modern technology. Some everyday products have deficient designs which can result in an unsatisfactory experience and even frustration. Additionally, they may produce a mental workload that can induce the user to make mistakes during...

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Main Authors:	Durán-Coronado, Adrían Alonso, Maldonado-Macías, Aidé Aracely, Barajas-Bustillos, Manuel Alejandro, Hernández-Arellano, Juan Luis
Format:	Online
Language:	spa
Published:	Universidad Autónoma de Tamaulipas 2019
Online Access:	https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173
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record_format	ojs
institution	CIENCIA UAT
collection	OJS
language	spa
format	Online
author	Durán-Coronado, Adrían Alonso Maldonado-Macías, Aidé Aracely Barajas-Bustillos, Manuel Alejandro Hernández-Arellano, Juan Luis
spellingShingle	Durán-Coronado, Adrían Alonso Maldonado-Macías, Aidé Aracely Barajas-Bustillos, Manuel Alejandro Hernández-Arellano, Juan Luis Cognitive analyses of mental workload and human error identification for the improvement of user experience
author_facet	Durán-Coronado, Adrían Alonso Maldonado-Macías, Aidé Aracely Barajas-Bustillos, Manuel Alejandro Hernández-Arellano, Juan Luis
author_sort	Durán-Coronado, Adrían Alonso
title	Cognitive analyses of mental workload and human error identification for the improvement of user experience
title_short	Cognitive analyses of mental workload and human error identification for the improvement of user experience
title_full	Cognitive analyses of mental workload and human error identification for the improvement of user experience
title_fullStr	Cognitive analyses of mental workload and human error identification for the improvement of user experience
title_full_unstemmed	Cognitive analyses of mental workload and human error identification for the improvement of user experience
title_sort	cognitive analyses of mental workload and human error identification for the improvement of user experience
description	People can sometimes feel overwhelmed when trying to interact with modern technology. Some everyday products have deficient designs which can result in an unsatisfactory experience and even frustration. Additionally, they may produce a mental workload that can induce the user to make mistakes during their usage. The use of techniques for human error identification and mental load assessment in products evaluation and design can provide relevant and useful information to improve the user’s experience. The objective of this work was to propose a methodology for integrating mental workload assessment and human error analysis into product design processes. In this work, mental workload was evaluated during the configuration of wireless earphones using the Workload Profile (WP) technique, and the Task Analysis for Error Identification (TAFEI). Ten users voluntarily participated in the study; their experiences during the use of mobile phone earphones were video recorded. Rating sheets were used to assess mental workload and human errors were identified during the earphones’ setup stage with the mobile phone. The method employed for this research offers higher sensitivity in the assessment of mental workload. It also enables the identification of attention resources that were more frequently used during task completion. Two opportunities for redesign were identified. The first one is related to the light signal detection and the second one to the correct identification of ear tips. Conclusions and recommendations are given for designers to improve the interaction between people and products.
publisher	Universidad Autónoma de Tamaulipas
publishDate	2019
url	https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173
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spelling	oai:ojs.pkp.sfu.ca:article-11732020-01-29T12:20:34Z Cognitive analyses of mental workload and human error identification for the improvement of user experience Análisis cognitivos de carga mental e identificación del error humano para mejorar la experiencia de usuario Durán-Coronado, Adrían Alonso Maldonado-Macías, Aidé Aracely Barajas-Bustillos, Manuel Alejandro Hernández-Arellano, Juan Luis error prevention mental workload user experience TAFEI Workload Profile prevención de error carga mental experiencia de usuario TAFEI Wokload Profile People can sometimes feel overwhelmed when trying to interact with modern technology. Some everyday products have deficient designs which can result in an unsatisfactory experience and even frustration. Additionally, they may produce a mental workload that can induce the user to make mistakes during their usage. The use of techniques for human error identification and mental load assessment in products evaluation and design can provide relevant and useful information to improve the user’s experience. The objective of this work was to propose a methodology for integrating mental workload assessment and human error analysis into product design processes. In this work, mental workload was evaluated during the configuration of wireless earphones using the Workload Profile (WP) technique, and the Task Analysis for Error Identification (TAFEI). Ten users voluntarily participated in the study; their experiences during the use of mobile phone earphones were video recorded. Rating sheets were used to assess mental workload and human errors were identified during the earphones’ setup stage with the mobile phone. The method employed for this research offers higher sensitivity in the assessment of mental workload. It also enables the identification of attention resources that were more frequently used during task completion. Two opportunities for redesign were identified. The first one is related to the light signal detection and the second one to the correct identification of ear tips. Conclusions and recommendations are given for designers to improve the interaction between people and products. Las personas, en ocasiones, pueden sentirse abrumadas al tratar de interactuar con la tecnología moderna. Ciertos productos de uso cotidiano cuentan con diseños deficientes, por lo que pueden provocar una experiencia insatisfactoria y frustración, produciéndose con ellas una carga mental en el usuario que pueda inducir al error. El uso de técnicas para la identificación del error humano y de la evaluación de carga mental en el diseño y evaluación de productos, puede proporcionar información relevante y útil, para mejorar la experiencia del usuario. El objetivo de este trabajo fue proponer una metodología para integrar la evaluación de carga mental y el análisis del error humano en el diseño de productos. Se evaluó la carga mental mediante la técnica perfil de carga de trabajo, Workload Profile (WP), y se utilizó una metodología de identificación del error humano, Task Analysis For Error Identification (TAFEI), en la configuración de audífonos inalámbricos. Diez usuarios participaron voluntariamente en el estudio; sus experiencias en el uso de los audífonos fueron videograbadas. Se utilizaron formularios para evaluar carga mental, y se identificaron errores humanos durante la etapa de configuración de los audífonos con el teléfono móvil. El método utilizado en este trabajo ofrece una mayor sensibilidad en la evaluación de la carga mental y permite determinar los recursos de atención que más se utilizan en la realización de la tarea. Se detectaron dos oportunidades de rediseño, una relacionada con la señal lumínica, y la otra para la identificación de las puntas para cada oído. A partir de los resultados de la aplicación de la metodología propuesta en este estudio, los diseñadores pueden mejorar la interacción entre las personas y los productos. Universidad Autónoma de Tamaulipas 2019-07-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html application/xml https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173 10.29059/cienciauat.v14i1.1173 CienciaUAT; Vol 14 No. 1. July-December 2019; 71-84 CienciaUAT; Vol. 14 No. 1: Julio-Diciembre 2019; 71-84 2007-7858 2007-7521 spa https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173/612 https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173/616 https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1173/699 Derechos de autor 2019 CienciaUAT

Cognitive analyses of mental workload and human error identification for the improvement of user experience

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