Abstract
The issue of work-related fatigue persists today; especially during the pandemic, the intensity of workplace stress has led to a disregard for pandemic stimulants. It triggers mental fatigue by making a person more sensitive to multisensory stimulants like fluorescent colors, the sound of someone coughing or sneezing, and the smell of disinfectants. In this study, fatigue was detected through electroencephalogram (EEG) responses. The primary topic covered in detail is the analysis of EEG data. The combination of statistical data processing and the EEG Lab allows for the detection of brain waves, and ICA data shows the dominant activity of these waves in response to stimuli and in specific brain regions. There are two distinct ways that fatigue affects stimulants. Alpha and theta activity indicate impacts that have a positive connotation. Additionally, through beta actions, repercussions with a negative connotation were discovered. Examining the dominance of the brain regions that respond strongly is one way to interpret ICA results. The final technique converts numerical data into visual representations. To advance neuroarchitecture research, particularly in the workplace design creation drive to humanistic form. It should be less of a of a fatigue risk for the worker. This research led to a way of detecting fatigue using the ICA data method called Esperensia.
Presenters
Rizka ArintaPhD Candidate, Doctoral Program of Architecture, Soegijapranata Catholic University, Jawa Tengah, Indonesia
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Methods, Pandemic, Fatigue, Workplace, Brainwaves