Classification of inattentional blindness using brain dynamics of ERPs
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, 2023, pp. 1-6
- Issue Date:
- 2023-12-11
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Classification of inattentional blindness using brain dynamics of ERPs.pdf | Accepted version | 1.21 MB |
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Situational awareness SA is vital for understanding our surroundings Multiple variables including inattentive blindness IB contribute to the deterioration of SA which may have detrimental effects on individuals cognitive performance IB occurs due to attentional limitations ignoring critical information and resulting in a loss of SA and a decline in general performance particularly in complicated situations requiring substantial cognitive resources To the best of our knowledge however past research has not fully uncovered the neurological characteristics of IB nor classified these characteristics in life alike virtual situations Therefore the purpose of this study is to determine whether ERP dynamics in the brain may be utilised as a neural feature to predict the occurrence of IB using machine learning ML algorithms In a virtual reality simulation of an IB experiment 30 participants behaviour and Electroencephalography EEG measurements were obtained Participants were given a target detection task in the IB experiment without knowing the unattended shapes displayed on the background building The targets were presented in three different sensory modalities auditory visual and visual auditory On the post experiment questionnaire participants who claimed not to have noticed the unattended shapes were assigned to the IB group Subsequently the Aware group was formed from individuals who reported seeing the unattended shapes Using EEGNet to classify IB and Aware groups demonstrated a high classification performance According to the research ERP brain dynamics are associated with the awareness of unattended shapes and have the potential to serve as a reliable indication for predicting the visual consciousness of unexpected objects p p Clinical relevance This research offers a potential brain marker for the mixed reality and BCI systems that will be used in the future to identify cognitive deterioration maintain attentional capacity
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