Analysing the Cognitive load for Monolinguals using EEG
| Autor: | Mahesh Veezhinathan, Sakthivel Sukeerthi, B. Geethanjali |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Information transfer
Task switching medicine.diagnostic_test Computer science 05 social sciences Cognition Electroencephalography 050105 experimental psychology Task (project management) 03 medical and health sciences 0302 clinical medicine Encoding (memory) Synchronization (computer science) Task analysis medicine 0501 psychology and cognitive sciences 030217 neurology & neurosurgery Cognitive load Cognitive psychology |
| Zdroj: | 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). |
| Popis: | The effective transfer of information to the brain is possible only when the redundant load is not forced on a learner and this will help in the successful encoding of information. Assessing the cognitive load becomes a crucial imperative for the learner as the profound cognitive load can have negative effects on task achievement affecting the information transfer. Analyzing the cognitive load in learning environments during task switching becomes a primary concern. In the present study, the cognitive load associated with different tasks (650 L and 1500 L) have assessed using Electroencephalograph (EEG) for 10 monolingual participants and the task performances had tested. The event-related synchronization and desynchronization had calculated for all EEG across nineteen electrode locations. As the cognitive load increases, at T3, T4, F8 and Fp1 electrode locations the alpha desynchronization and Theta synchronization were much different ( $P ) and this helps improve accuracy for high lexical level. The task performance, accuracy was the same for high and low cognitive loads, but mean RT (reaction time) was diverse only for related words. The study concludes monolingual performed fine on the linguistics task, it should have been compared to bilinguals and non-linguistics task for further decisive results. |
| Databáze: | OpenAIRE |
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