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Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing
Knowledge of the mental workload induced by a Web page is essential for improving users’ browsing experience. However, continuously assessing the mental workload during a browsing task is challenging. To address this issue, this paper leverages the correlation between stimuli and physiological respo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855035/ https://www.ncbi.nlm.nih.gov/pubmed/29401688 http://dx.doi.org/10.3390/s18020458 |
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author | Jimenez-Molina, Angel Retamal, Cristian Lira, Hernan |
author_facet | Jimenez-Molina, Angel Retamal, Cristian Lira, Hernan |
author_sort | Jimenez-Molina, Angel |
collection | PubMed |
description | Knowledge of the mental workload induced by a Web page is essential for improving users’ browsing experience. However, continuously assessing the mental workload during a browsing task is challenging. To address this issue, this paper leverages the correlation between stimuli and physiological responses, which are measured with high-frequency, non-invasive psychophysiological sensors during very short span windows. An experiment was conducted to identify levels of mental workload through the analysis of pupil dilation measured by an eye-tracking sensor. In addition, a method was developed to classify mental workload by appropriately combining different signals (electrodermal activity (EDA), electrocardiogram, photoplethysmo-graphy (PPG), electroencephalogram (EEG), temperature and pupil dilation) obtained with non-invasive psychophysiological sensors. The results show that the Web browsing task involves four levels of mental workload. Also, by combining all the sensors, the efficiency of the classification reaches 93.7%. |
format | Online Article Text |
id | pubmed-5855035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58550352018-03-20 Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing Jimenez-Molina, Angel Retamal, Cristian Lira, Hernan Sensors (Basel) Article Knowledge of the mental workload induced by a Web page is essential for improving users’ browsing experience. However, continuously assessing the mental workload during a browsing task is challenging. To address this issue, this paper leverages the correlation between stimuli and physiological responses, which are measured with high-frequency, non-invasive psychophysiological sensors during very short span windows. An experiment was conducted to identify levels of mental workload through the analysis of pupil dilation measured by an eye-tracking sensor. In addition, a method was developed to classify mental workload by appropriately combining different signals (electrodermal activity (EDA), electrocardiogram, photoplethysmo-graphy (PPG), electroencephalogram (EEG), temperature and pupil dilation) obtained with non-invasive psychophysiological sensors. The results show that the Web browsing task involves four levels of mental workload. Also, by combining all the sensors, the efficiency of the classification reaches 93.7%. MDPI 2018-02-03 /pmc/articles/PMC5855035/ /pubmed/29401688 http://dx.doi.org/10.3390/s18020458 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jimenez-Molina, Angel Retamal, Cristian Lira, Hernan Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title | Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title_full | Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title_fullStr | Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title_full_unstemmed | Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title_short | Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing |
title_sort | using psychophysiological sensors to assess mental workload during web browsing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855035/ https://www.ncbi.nlm.nih.gov/pubmed/29401688 http://dx.doi.org/10.3390/s18020458 |
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