Beelen, Nathan van (2020) Inter-brain synchrony during (dis)agreement in monastic debate. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Research has suggested higher inter-brain synchrony is associated with improved cooperation. A similar effect was later found to also exist for periods of agreement and disagreement in a monastic debate, where agreement led to a higher inter-brain synchrony. As periods of agreement and disagreement can be subjective, this study aimed to confirm this effect of higher inter-brain synchrony during agreement in a more controlled manner. This was done using debate specific vocabulary in a monastic debate as indication for agreement and disagreement. In order to confirm this hypothesis, the inter-brain synchrony between pairs of monks was measured with the use of EEG hyperscanning. While we did not observe average differences between utterances reflecting agreement and disagreement, the Support-Vector Machines classifier was able to distinguish between the two conditions on a single-trial basis. A feature importance analysis was done on both the SVM and LDA (Linear Discriminant Analysis) classifiers while mitigating the effect of correlation between the different features. No significant differences were found between the importance of different features using the one-way ANOVA. This led to the conclusion that there is indeed a difference of averages in inter-brain synchrony between agreement and disagreement where agreement leads to a decrease in inter-brain synchrony.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Vugt, M.K. van and Kaushik, P. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 10 Aug 2020 10:17 |
| Last Modified: | 10 Aug 2020 10:17 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23046 |
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