Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing
AbstractKnowledge 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%. View Full-Text
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Jimenez-Molina, A.; Retamal, C.; Lira, H. Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing. Sensors 2018, 18, 458.
Jimenez-Molina A, Retamal C, Lira H. Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing. Sensors. 2018; 18(2):458.Chicago/Turabian Style
Jimenez-Molina, Angel; Retamal, Cristian; Lira, Hernan. 2018. "Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing." Sensors 18, no. 2: 458.
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