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 experien ce and even frustration. Additionally, they may produce a mental workload that can induce the user to make mistakes durin...

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Bibliographic Details
Published in:CienciaUAT 2019-07, Vol.14 (1), p.71
Main Authors: Adrían Alonso Durán-Coronado, Maldonado-Macías, Aidé Aracely, Barajas-Bustillos, Manuel Alejandro, Hernández-Arellano, Juan Luis
Format: Article
Language:Spanish
Subjects:
Audio equipment
Cell phones
Cellular telephones
Cognition
Cognitive ability
Design
Earphones
Error analysis
Frustration
Human error
Human-computer interaction
Identification
Mobile phones
Product design
Redesign
Sensitivity analysis
Signal detection
Task analysis
User experience
Working conditions
Workload
Workloads
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Summary:People can sometimes feel overwhelmed when trying to interact with modern technology. Some everyday products have deficient designs which can result in an unsatisfactory experien ce 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 th e identification of attention resources that were more frequently used during task completion. Two opportunities for redesign were identified. The first one i s 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 re levante 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 car ga de trabajo, Workload Profile (WP), y se utilizó una metodología de identificación del error humano, Task An
ISSN:2007-7521
2007-7858
DOI:10.29059/cienciauat.v14i1.1173