# Analysis of Short-Term Subjective Well-Being/Comfort and Its Correlation to Different EEG Metrics

## TL;DR

EEG brainwave patterns correlate with short-term well-being, but these correlations vary widely between individuals.

## Contribution

The study shows that EEG relative power correlates with short-term subjective well-being, but individual differences prevent consistent subgrouping.

## Key findings

- Relative power of EEG sensors correlates with short-term subjective well-being (SWB) and comfort.
- Participants could not be grouped into consistent subgroups based on EEG-SWB correlations.
- The correlation holds even when SWB changes rapidly (every 30 seconds) or due to environmental factors.

## Abstract

What are the main findings?
Relative power of EEG sensors is related to short-term SWB/comfort.The participants could not be grouped into consistent subgroups with similar correlation between their EEG data and their reported short-term SWB/comfort levels.

Relative power of EEG sensors is related to short-term SWB/comfort.

The participants could not be grouped into consistent subgroups with similar correlation between their EEG data and their reported short-term SWB/comfort levels.

What are the implications of the main findings?
The reported linear correlation between different EEG relative powers and SWB/comfort also holds when SWB is changed on a 30 s scale and when changed via environmental conditions.While our findings are significant, they vary between individual participants, which cannot be grouped into consistent subgroups, at least not with the methods we used.

The reported linear correlation between different EEG relative powers and SWB/comfort also holds when SWB is changed on a 30 s scale and when changed via environmental conditions.

While our findings are significant, they vary between individual participants, which cannot be grouped into consistent subgroups, at least not with the methods we used.

Finding a correlation between physiological measures and subjective well-being (SWB) or comfort has been an active research area in recent years. We focus on short-term SWB measures and their correlation to electroencephalography (EEG) signals in an office environment. We recorded EEG from 30 participants and asked them to report their SWB every 30 s. We analyzed the correlation between the relative power of different frequency bands at various sensor locations and SWB via k-nearest neighbor (k-NN) classification and linear regression. We also analyzed the correlation of the time series themselves at different sensor locations and how they can be classified into different SWB values via k-NN. Then, we tried to cluster participants into subgroups that had a similar correlation between their EEG recordings and their reported SWB. We found that a correlation between relative power and SWB also holds for short terms. However, the results of every single participant of all analyses vary substantially, and we could not find any consistent clustering into subgroups. That implies a huge individuality when it comes to EEG measures and reported short-term SWB.