The design of public services area in a government office building integrating Bayesian Brain Perceptual Mapping

The Bayesian Brain Behavioural Mapping framework examines how multisensory stimuli affect worker perception and the mitigation of fatigue within workspace environments, particularly during the COVID-19 pandemic. TPDK Disdukcapil Semarang was selected as a case study due to its notable digital service innovation during the pandemic, which enabled remote access to essential public administration services. This innovation ensured continuity of service, improved public accessibility, and received national recognition for its effectiveness. This study employed an observational case study approach combined with real-time electroencephalogram monitoring to examine how a fatigued worker experienced their workspace. A portable EEG device recorded the participant's brainwave activity as they performed routine administrative tasks. The EEG data captured cognitive and emotional responses to multisensory environmental stimuli, including visual (lighting and colours), auditory (coughing and sneezing), and olfactory (disinfectant smells) inputs that were prevalent during the pandemic. The researchers assessed worker fatigue using a triangulated method that combined self-reported data and behavioural observation. The Fatigue Assessment Scale was used to evaluate physical and mental fatigue. Observable indicators such as reduced focus, slower movements, and facial expressions helped validate the subjective reports. This research applies Bayes' Theorem to model how seven environmental factors, such as contrast, atmosphere, context, dimensions, space density, emotional tone, and spatial originality, can influence perceived comfort and the likelihood of spatial persistence. The findings highlight that neurocognitive elements, such as density, atmosphere, contextual fit, and emotional stability, are critical in shaping the spatial experience. For instance, lower density and emotional stability were associated with greater comfort in administrative spaces, while a sense of originality was essential in archive areas. By integrating Bayesian analysis with spatial design, this study provides a framework for architects to create work environments that align with human cognitive and emotional responses, promoting resilience and well-being, particularly in response to pandemic-related challenges.

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Publication Details

Journal
Neuroscience Research Notes
Published
2025-09-22
DOI
https://doi.org/10.31117/neuroscirn.v8i3.403
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

The design of public services area in a government office building integrating Bayesian Brain Perceptual Mapping

Rizka Tri Arinta, Prasasto Satwiko, Robert Rianto Widjadja
Neuroscience Research Notes
EEG and Brain-Computer Interfaces
article

The design of public services area in a government office building integrating Bayesian Brain Perceptual Mapping

Rizka Tri Arinta, Prasasto Satwiko, Robert Rianto Widjadja
article en

Abstract

The Bayesian Brain Behavioural Mapping framework examines how multisensory stimuli affect worker perception and the mitigation of fatigue within workspace environments, particularly during the COVID-19 pandemic. TPDK Disdukcapil Semarang was selected as a case study due to its notable digital service innovation during the pandemic, which enabled remote access to essential public administration services. This innovation ensured continuity of service, improved public accessibility, and received national recognition for its effectiveness. This study employed an observational case study approach combined with real-time electroencephalogram monitoring to examine how a fatigued worker experienced their workspace. A portable EEG device recorded the participant's brainwave activity as they performed routine administrative tasks. The EEG data captured cognitive and emotional responses to multisensory environmental stimuli, including visual (lighting and colours), auditory (coughing and sneezing), and olfactory (disinfectant smells) inputs that were prevalent during the pandemic. The researchers assessed worker fatigue using a triangulated method that combined self-reported data and behavioural observation. The Fatigue Assessment Scale was used to evaluate physical and mental fatigue. Observable indicators such as reduced focus, slower movements, and facial expressions helped validate the subjective reports. This research applies Bayes' Theorem to model how seven environmental factors, such as contrast, atmosphere, context, dimensions, space density, emotional tone, and spatial originality, can influence perceived comfort and the likelihood of spatial persistence. The findings highlight that neurocognitive elements, such as density, atmosphere, contextual fit, and emotional stability, are critical in shaping the spatial experience. For instance, lower density and emotional stability were associated with greater comfort in administrative spaces, while a sense of originality was essential in archive areas. By integrating Bayesian analysis with spatial design, this study provides a framework for architects to create work environments that align with human cognitive and emotional responses, promoting resilience and well-being, particularly in response to pandemic-related challenges.

Neuroscience Research NotesVol. 8(3)
Soegijapranata Catholic University (ID), Atma Jaya University Yogyakarta (ID)
Universitas Atma Jaya Yogyakarta
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
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