| Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 8 | |
| Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202346502002 | |
| Published online | 18 December 2023 | |
The Effect of Physical Environment Factors on Human Cognitive Performance Through EEG Signals
1 Sebelas Maret University, Department of Industrial Engineering, Surakarta, Indonesia
2 Diponegoro University, Department of Industrial Engineering, Semarang, Indonesia
* Corresponding author: rahmaniyahdwis3@student.uns.ac.id
Human activities that require cognitive performance is doing cognitive computer-based tasks. One of the important cognitive performances in people when doing some active thinking tasks is attention. This study focuses on measuring cognitive performance through cognitive tasks in the form of a Stroop Color Word Test with a neurophysiological approach, namely EEG, related to the effects of physical environment factors: room temperature. The temperature variations that will be studied refer to the concepts of slightly warm, neutral, and slightly cool with 18 °C representing slightly cool, 24 °C representing neutral, and 30 °C representing slightly warm. This study used an experimental design method and was conducted on 12 subjects. This study showed that room temperature treatment had a significant effect on TRT (sig. 0.00), but not on accuracy which it refers to cognitive performance to do the task correctly. To explain of the beta EEG signal, it was found that the highest power spectrum value occurred when the respondent was subjected to room temperature treatment of 24 °C. While in the ERP P3 measurement, it was found that the amplitude (µV) of P3 was best at 24 °C.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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