Characterisation of mobile-device tasks by their associated cognitive load through EEG data processing.
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- December 1, 2020
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Interaction with mobile devices serves as a link to the cyber world and allows us to characterise user behaviours. The deep analysis of the interactions with the smartphone, aligned with the principles of the Internet of People, allow us to distinguish between normal and abnormal use. One of the multiple applications of this type of analysis will contribute to the early diagnosis of mild cognitive impairment, based on anomalies in the interaction. This work aims to take the first steps towards that ambitious goal: to determine the cognitive load required for different typical tasks with smartphones. By properly identifying which tasks require a higher cognitive load, we will be able to start studying metrics and indicators that contribute to the early diagnosis of cognitive pathologies. The analysis of cognitive load was carried out after an experiment with 26 users who performed 12 typical tasks with a mobile device while their brain activity was monitored through electroencephalography. The results identify that there are clearly tasks with a higher cognitive demand, with audio production and consumption being the most notable, which has been validated experimentally and statistically.