Assessing human responses to construction noise using EEG and EDA signal features with Consideration of individual sensitivity

Abstract

Construction noise significantly affects the mental and physical well-being of both workers and urban residents. Recent studies on noise stress monitoring have explored physiological sensing-based techniques for efficient noise management, primarily focusing on human responses to sound pressure levels. However, these studies often overlook variations in individual responses and personal traits, such as noise sensitivity. This study examines the effectiveness of combining electrodermal activity (EDA) and electroencephalography (EEG) signal features with individual noise sensitivity to assess individually varying stress responses to construction noise. Data were collected from 20 participants exposed to 40, 60, and 80 dBA noise levels, recorded at an actual construction site. Additionally, participants’ noise sensitivity as a personal trait and subjective annoyance as a stress response to noise were evaluated. The findings indicate that EDA and EEG signals provide more accurate and nuanced assessments of individual stress responses than traditional noise evaluations based solely on sound pressure levels. Integrating individual sensitivity traits with physiological data enhanced the accuracy and personalization of stress assessments, highlighting the importance of considering individual differences in noise management strategies. These insights underscore the need to advance noise regulations beyond sound pressure thresholds, advocating for human-centered approaches that incorporate physiological monitoring.