TY - GEN
T1 - Feasibility of Field Measurement of Construction Workers' Valence Using a Wearable EEG Device
AU - Jebelli, Houtan
AU - Hwang, Sungjoo
AU - Lee, Sang Hyun
N1 - Publisher Copyright:
© 2017 ASCE.
PY - 2017
Y1 - 2017
N2 - Construction workers' valence, which is an important dimension of emotions by representing intrinsic attractiveness and aversiveness, significantly influences their awareness, attention, motivation, etc. Recently, a wearable electroencephalogram (EEG) device has opened a door to measure and understand construction workers' valence levels at the workplace. However, acquiring high quality EEG signals is very difficult at the field due to signal artefacts prevalent in construction sites. In this regard, a signal processing framework was previously developed by the authors to remove the most common artefacts recorded in the EEG signals. In this paper, we further demonstrate how construction workers' valence can be identified by applying this framework. Significant differences in the valence levels were captured while subjects were working in various real work conditions (e.g., working at ground level, top of the ladder, and in confined space). The results show the feasibility of using a wearable EEG device to monitor a worker's valence.
AB - Construction workers' valence, which is an important dimension of emotions by representing intrinsic attractiveness and aversiveness, significantly influences their awareness, attention, motivation, etc. Recently, a wearable electroencephalogram (EEG) device has opened a door to measure and understand construction workers' valence levels at the workplace. However, acquiring high quality EEG signals is very difficult at the field due to signal artefacts prevalent in construction sites. In this regard, a signal processing framework was previously developed by the authors to remove the most common artefacts recorded in the EEG signals. In this paper, we further demonstrate how construction workers' valence can be identified by applying this framework. Significant differences in the valence levels were captured while subjects were working in various real work conditions (e.g., working at ground level, top of the ladder, and in confined space). The results show the feasibility of using a wearable EEG device to monitor a worker's valence.
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U2 - 10.1061/9780784480830.013
DO - 10.1061/9780784480830.013
M3 - Conference contribution
AN - SCOPUS:85026884129
T3 - Congress on Computing in Civil Engineering, Proceedings
SP - 99
EP - 106
BT - Computing in Civil Engineering 2017
A2 - Lin, Ken-Yu
A2 - El-Gohary, Nora
A2 - Tang, Pingbo
PB - American Society of Civil Engineers (ASCE)
T2 - 2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
Y2 - 25 June 2017 through 27 June 2017
ER -