Treweek, Poppy Faith (2020) Emotion regulation through monastic debate. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Monastic debate is a form of analytical meditation essential to the practices of Tibetan monks. The aim of these debates is to gain a deeper insight into the materials learnt as well as to have more control and regulation of their emotions. This study looked into the emotions of happiness and anger to see if there was a difference between the emotional control of beginner monks and experienced monks. The hypothesis was that both emotions would be more controlled for the experienced monks. Videos of monastic debates were watched for emotion instances which were later analysed. Electroencephalogram (EEG) was used to gain real time recordings of the brain signals during the emotions experienced in the debate, this was later analysed at the instances of emotions seen. The frequency and the duration of each of the emotions was compared between experience levels. It was found that anger increases in frequency and duration through experience in monastic debates. Happiness was found to have higher frequencies overall though of shorter duration than anger for both experience levels. No significant differences were found between frequency bands for the EEG data across different channels. Two areas of the brain were found to be significant between the emotions happiness and anger, at channels AF4 and PO4. No brain areas were found to be significant between the emotion and the experience level.
| 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: | 02 Feb 2021 10:56 |
| Last Modified: | 02 Feb 2021 10:56 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23896 |
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