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使用心理生理传感器评估网页浏览时的精神负荷。

Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing.

机构信息

Department of Industrial Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago 8370456, Chile.

Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago 8370448, Chile.

出版信息

Sensors (Basel). 2018 Feb 3;18(2):458. doi: 10.3390/s18020458.

DOI:10.3390/s18020458
PMID:29401688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5855035/
Abstract

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%.

摘要

了解网页引起的心理工作量对于改善用户的浏览体验至关重要。然而，在浏览任务期间持续评估心理工作量具有挑战性。为了解决这个问题，本文利用刺激和生理反应之间的相关性，这些反应是在非常短的时间窗口内使用高频、非侵入性的生理传感器测量的。进行了一项实验，通过分析眼动追踪传感器测量的瞳孔扩张来确定心理工作量水平。此外，还开发了一种方法，通过适当组合非侵入性生理传感器获得的不同信号（皮肤电活动（EDA）、心电图、光体积描记法（PPG）、脑电图（EEG）、温度和瞳孔扩张）来对心理工作量进行分类。结果表明，网页浏览任务涉及四个级别的心理工作量。此外，通过组合所有传感器，分类的效率达到 93.7%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/509bc6dbf968/sensors-18-00458-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/509bc6dbf968/sensors-18-00458-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/ad6e3d9b6029/sensors-18-00458-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/da20e89823b3/sensors-18-00458-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/08e3c24b4ce7/sensors-18-00458-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246f/5855035/509bc6dbf968/sensors-18-00458-g007.jpg

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