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A Systematic Review for Cognitive State-Based QoE/UX Evaluation
Traditional evaluation of user experience is subjective by nature, for what is sought is to use data from physiological and behavioral sensors to interpret the relationship that the user’s cognitive states have with the elements of a graphical interface and interaction mechanisms. This study present...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156405/ https://www.ncbi.nlm.nih.gov/pubmed/34069310 http://dx.doi.org/10.3390/s21103439 |
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author | Bañuelos-Lozoya, Edgar González-Serna, Gabriel González-Franco, Nimrod Fragoso-Diaz, Olivia Castro-Sánchez, Noé |
author_facet | Bañuelos-Lozoya, Edgar González-Serna, Gabriel González-Franco, Nimrod Fragoso-Diaz, Olivia Castro-Sánchez, Noé |
author_sort | Bañuelos-Lozoya, Edgar |
collection | PubMed |
description | Traditional evaluation of user experience is subjective by nature, for what is sought is to use data from physiological and behavioral sensors to interpret the relationship that the user’s cognitive states have with the elements of a graphical interface and interaction mechanisms. This study presents the systematic review that was developed to determine the cognitive states that are being investigated in the context of Quality of Experience (QoE)/User Experience (UX) evaluation, as well as the signals and characteristics obtained, machine learning models used, evaluation architectures proposed, and the results achieved. Twenty-nine papers published in 2014–2019 were selected from eight online sources of information, of which 24% were related to the classification of cognitive states, 17% described evaluation architectures, and 41% presented correlations between different signals, cognitive states, and QoE/UX metrics, among others. The amount of identified studies was low in comparison with cognitive state research in other contexts, such as driving or other critical activities; however, this provides a starting point to analyze and interpret states such as mental workload, confusion, and mental stress from various human signals and propose more robust QoE/UX evaluation architectures. |
format | Online Article Text |
id | pubmed-8156405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81564052021-05-28 A Systematic Review for Cognitive State-Based QoE/UX Evaluation Bañuelos-Lozoya, Edgar González-Serna, Gabriel González-Franco, Nimrod Fragoso-Diaz, Olivia Castro-Sánchez, Noé Sensors (Basel) Systematic Review Traditional evaluation of user experience is subjective by nature, for what is sought is to use data from physiological and behavioral sensors to interpret the relationship that the user’s cognitive states have with the elements of a graphical interface and interaction mechanisms. This study presents the systematic review that was developed to determine the cognitive states that are being investigated in the context of Quality of Experience (QoE)/User Experience (UX) evaluation, as well as the signals and characteristics obtained, machine learning models used, evaluation architectures proposed, and the results achieved. Twenty-nine papers published in 2014–2019 were selected from eight online sources of information, of which 24% were related to the classification of cognitive states, 17% described evaluation architectures, and 41% presented correlations between different signals, cognitive states, and QoE/UX metrics, among others. The amount of identified studies was low in comparison with cognitive state research in other contexts, such as driving or other critical activities; however, this provides a starting point to analyze and interpret states such as mental workload, confusion, and mental stress from various human signals and propose more robust QoE/UX evaluation architectures. MDPI 2021-05-14 /pmc/articles/PMC8156405/ /pubmed/34069310 http://dx.doi.org/10.3390/s21103439 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Bañuelos-Lozoya, Edgar González-Serna, Gabriel González-Franco, Nimrod Fragoso-Diaz, Olivia Castro-Sánchez, Noé A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title | A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title_full | A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title_fullStr | A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title_full_unstemmed | A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title_short | A Systematic Review for Cognitive State-Based QoE/UX Evaluation |
title_sort | systematic review for cognitive state-based qoe/ux evaluation |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156405/ https://www.ncbi.nlm.nih.gov/pubmed/34069310 http://dx.doi.org/10.3390/s21103439 |
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